Test Data Engineer Salary in India - PayScale

DESCRIPTIONAmazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Supply Chain & Procurement (ISCaP) organization works to deliver cutting-edge solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth !Do you love problem solving? Do you enjoy learning new ideas and apply them to problems? Are you looking for real world engineering challenges? Do you dream about elegant high quality solutions? Want to be a part of an amazing team that delivers first class analytical solutions to our business world-wide?AWS is seeking a highly motivated and passionate Back End Data Engineer who is responsible for designing, developing, testing, and deploying Supply Chain Application and Process Automation. In this role you will collaborate with business leaders, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on AWS Infrastructure Supply Chain & Procurement. In this, you will work closely with a team of Business Intelligence Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools, including EC2, Lambda, DynamoDB, and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.In this job, you will:- Work with business leaders, Business Intelligence Engineers, and Data Scientists to ideate business friendly software solutions.- Design client-side and server-side architecture.- Develop visually appealing front end website architecture, including translating designer mock-ups and wireframes into front-end code.- Develop functional databases, applications, and servers to support websites on the back end.- Write effective APIs.- Test software to ensure responsiveness and efficiency.- Troubleshoot, debug and upgrade applications.- Create security and data protection settings.- Build features and applications with a mobile responsive design.- Develop technical specifications and write technical documentation.We are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDBASIC QUALIFICATIONS- - Bachelor's or Master's degree or PhD in Computer Science, or a related field.- - 6+ years of non-internship professional software development experience with 3+ years of technical leadership experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems- - Experience with client side technologies (HTML, CSS, JavaScript, jQuery, XML, Angular, React)- - Knowledge of multiple back-end technologies (e.g. C++, C#, Java, Python, Node.js) including object-oriented design- - Familiarity with SQL and NoSQL databases (e.g. MySQL, MongoDB, PostgreSQL, Dynamo DB), web servers (e.g. Apache, Apache Tomcat)- - Proficient in mapping the object oriented model to relational database(Hibernate and JPA)- - Experience with DevOps tools like Docker, Kubernetes with application deployment using CI/CD.- - Experience with distributed version control such as Git.- - Basic knowledge of Linux environments including shell scripting and standard Linux command line tools.PREFERRED QUALIFICATIONS- - Experience working with REST and RPC service patterns and other client/server interaction models and API design.- - Experience working in NoSQL databases like MongoDB , DynamoDB- - Experienced with an Agile software development- - 5+ years of experience as a full stack engineer or back end engineer.- - Experience developing complex software systems that have been successfully delivered to customers.- - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.- - Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.

OVERVIEW OF THE COMPANY Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION We are building the Data Center of Excellence team in Bangalore, India. We are looking to hire Senior Data Engineers.The FOX Data and Commercial Technology Team is looking for Senior Data Engineers with a passion for building robust, scalable, efficient, and high-quality Data Engineering solutions to join our Engineering Centre of Excellence in Bangalore, India. This is a great opportunity to join a data-first media company and be part of our Enterprise Data Platform team that prides itself in making Fox a data-driven organization. If you enjoy designing and building innovative data engineering solutions using the latest tech stack in a fast-paced environment, this role is for you. A SNAPSHOT OF YOUR RESPONSIBILITIES Collaborate with and across Agile teams to design and develop data engineering solutions by rapidly delivering value to our customersBuild distributed, low latency, reliable data pipelines ensuring high availability and timely delivery of dataDesign and develop highly optimized data engineering solutions for Big Data workloads to efficiently handle continuous increase in data volume and complexityBuild highly performing real-time data ingestion solutions for streaming workloadsAdhere to best practices and agreed upon design patterns across all Data Engineering solutionsEnsure the code is elegantly designed, efficiently coded, and effectively tuned for performanceFocus on data quality and consistency, implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Create design (Data Flow Diagrams, Technical Design Specs, Source to Target Mapping documents) and test (unit/integration tests) documentationPerform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.Focus on end-to-end automation of data engineering pipelines and data validations (audit, balance controls) without any manual interventionFocus on data security and privacy by implementing proper access controls, key management, and encryption techniques.Take a proactive approach in learning new technologies, stay on top of tech trends, experimenting with new tools & technologies and educate other team membersCollaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organizationCommunicate clearly and effectively to technical and non-technical leadership WHAT YOU WILL NEED Education: Bachelor's degree in Computer Science, Computer Engineering, or relevant fieldWork Experience: Senior Data Engineer: 7+ years of experience in architecting, designing and building Data Engineering solutions and Data PlatformsExperience in building Data Warehouses/Data Platforms on Redshift/SnowflakeExperience working with data acquisition and transformation tools such as Fivetran and DBT Experience building highly optimized & efficient data engineering pipelines using Python, PySparkExperience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink Experience working with real-time data streams processing using Apache Kafka, Kinesis or FlinkExperience working with various AWS Services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog)Expertise in Advanced SQL programming and SQL Performance Tuning Experience with version control tools such as GitHub or Bitbucket.Expert level understanding of dimensional modeling techniquesExcellent communication, adaptability, and collaboration skillsExcellent analytical skills, strong attention to detail with emphasis on accuracy, consistency, and qualityStrong logical and problem-solving skills with critical thinking NICE TO HAVE, BUT NOT A DEALBREAKER Experience in designing and building applications using Container and serverless technologiesExperience working with fully automated workflow scheduling and orchestration services such as Apache AirflowExperience working with semi-structured, unstructured data, No SQL databasesExperience with CI/CD using GitHub Actions or JenkinsExperience designing and building APIs#Ll-KD1#Ll-HybridLearn more about Fox Tech at https://tech.fox.com #foxtechWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company's success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off. Click here to learn more about the diverse communities of people behind our brands.Salary: . Date posted: 04/01/2024 06:05 PM

TEC Digital Consulting’sInsights Practice is looking for a Data Engineer who is passionate aboutsolving complex data problems and intricate engineering issues with largesystems. We combine human insightand the speed of technology to transform our clients’ interactions with theircustomers. Advanced analytics of the customer experience and customerinteractions is our expertise. What you’ll be doing: The data engineer will be responsible for all aspects of executionand delivery for new and ongoing client implementations of the analyticplatform. This will require working with clients and coordinating with internalbusiness consulting, analyst, data science, and technology teams. Primary Responsibilities: Technical and functional analysis of customer implementation and integration requirementsDocumentation of implementation requirements and expected effortConfiguration and setup of the analytics platformConfiguration of data loaders and development and configuration of workflow processes and customizations to the platformParticipate in testingProactive identification of internal and external dependencies, highlighting issues, scope changes, and progress against project planCommunication of project status/issues to clients and internal managementPartner with various internal teamsProvide technical support to assist clients and partners during and post implementation. Required Experience and Skills:Bachelor’s Degree in Computer Science, Information Systems or related with 2-3 years of relevant experienceIn-depth familiarity with Big data technology and its application.Proficiency with the Azure or AWS ecosystemExperience with Big Data ETLUnderstanding of complex data flows, identification of data processing bottlenecks and designing and implementing solutions.Proficiency in .NET, C#, Python, Linux bash, Power Shell.Experienced in consuming third-party REST APIs (JSON) and SDKsA broad set of technical skills and knowledge across hardware, software, systems and solutions development and across more than one technical domain.Experienced in U SQL, PostgreSQ, TSQL Experience in professional services or technical consulting with enterprise software solutions, specifically enterprise software installation, configuration, customization, and testing.Proven ability to balance and manage multiple, competing priorities.Collaborative interpersonal skills and ability to work within cross-functional teams.Self-starter who relies on experience and judgment to plan and accomplish goals in complex fast-paced environment to ensure quality of all data integration points.Excellent customer service skills.Creative problem-solving and analysis skills.Ability to handle problem situations quickly, inventively, and resourcefully.Project management skills including:Ability to prioritize and manage tasksAbility to plan, commit, and deliver to schedulesAbility to identify, escalate, and manage project issuesWillingness to work extended hours on an as-needed basisEmployment Requirements: TTEC requires all employees hired in the India to successfully pass a background check including employment credentials, education, permanent and current address verification and if applicable, immigration and work permit documentation as a condition of employment. Depending on location and client program, a drug test may also be required as a condition of employment. TTEC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. You will be asked to share with TTEC as well as its representatives, all such personal information that it may require to conduct such background verification and also agree to TTEC and its representatives collecting and storing such personal information and transferring the same, whether in India or abroad.

TTEC DigitalConsulting’s Insights practice is looking for a Data Engineer who is passionateabout solving complex data problems and intricate engineering issues with largesystems. This person willidentify and conduct data-driven projects and analyses that help our clientsmeet their objectives most effectively. The role also involves providingstrategic direction on the development of marketing campaigns, includingtargeting strategy, value proposition development, and post-program performanceevaluation. We combine human insightand the speed of technology to transform our clients’ interactions with theircustomers. Advanced analytics of the customer experience and customerinteractions is our expertise. The successful candidate will be an experienced,highly motivated self-starter with the ability to solve data analysisproblems. They will have experience using programming languages tomanipulate large amounts of data. The primary responsibility of thisrole is to analyze large datasets to answer business questions by generatingreports and output in Excel. The candidate will work in a team ofprogrammers and business analysts to develop insightful deliverables thatsupport data-driven marketing strategies. Primary Responsibilities · Manage and manipulate multiple large data sets,including: defining populations and variables, performing calculationsand summarizations, and creating solutions to address client businessquestions · Prepare complex analytic deliverables, combiningmultiple programming outputs to create cohesive reports in Excel · Help design analytic data setspecifications · Lead in delivery of large analytic projects· Mentor team members· Contribute to the definition and development ofkey findings and marketing-oriented conclusions Required Skills/Qualifications· Bachelor’s Degree required, Masters preferred,STEM or related field· 4+ years of professional experienceworking with large-scale relational databases, and ability to manipulate/analyze / maintain relational databases· Capability to execute complete analysis processfrom data extraction / manipulation through QC, report and delivery of data andreports· In depth knowledge of one or more of thefollowing: SAS, Teradata , SQL, R, Python, Unix Scripting· Ability to create automated process andknowledge on CronTab, Autosys or related tools· Aptitude in Microsoft Excel· Ability to work independently and mentor juniorteam members· Strong attention to detail· Strong verbal and communication skills· Comfortable working in team-oriented, deadlinedriven environmentEmployment Requirements: TTEC requires all employees hired in the India to successfully pass a background check including employment credentials, education, permanent and current address verification and if applicable, immigration and work permit documentation as a condition of employment. Depending on location and client program, a drug test may also be required as a condition of employment. TTEC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. You will be asked to share with TTEC as well as its representatives, all such personal information that it may require to conduct such background verification and also agree to TTEC and its representatives collecting and storing such personal information and transferring the same, whether in India or abroad.

[email protected] mobile +49 171 61380 92 (WhatsApp) Your profile: University degree in Computer Science, Information Systems or a related discipline Several years of professional experience in big data, machine learning or business intelligen

DESCRIPTIONThe Amazon Payments Tech Team’s vision is to delight our customers with the best payment experience in the world! To achieve this vision, we are in search of a talented technical leader and craftsman who builds robust software that scales as well as client-facing features which are intuitive and simple to use.Our team takes a world view of payments for all of Amazon and builds highly customized and seamless payment experiences for our global customers. This focus on customer and geography requires working on different technologies and back-end platform systems in order to meet the needs of our customers. Our back-end systems are always available and guarantee that our customer’s orders are never lost and always processed even when downstream services are down. You will have a chance to understand and influence Amazon's Stack across Retail and Digital business. Our team is highly motivated and in need of a senior engineer who can take the technical reigns of the team and steer them in the direction of our vision. As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. You will also work with a team of Product Managers, Data Scientists, and Software Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, production pipelines, automate anomaly detection model, ML data models, implement new data pipelines that feed into or from critical data systems at Amazon Position Responsibilities: - Work closely with senior engineers to model, implement data pipelines that feed into or from data systems on Payments across our retail and digital business. - Own the delivery of data modelling and data pipelines. - Management and execution against project plans and delivery commitments - Assist directly and indirectly in the continual hiring and development of technical talent. - Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.The ideal candidate will be a leader, quick learner and be able to work independently. He/she should be able to operate in a very fast paced environment where time to hit market is super critical. The candidate will need to balance technical leadership and savvy with business judgment to make the right decisions about technology choices. We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED QUALIFICATIONS- 5+ years of data engineering experience- Knowledge of distributed systems as it pertains to data storage and computing- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Bachelor's degree in Computer Science, Information Technology, or related field.7-10 years of experience as a Data Engineer.Strong proficiency in Snowflake, including data modeling, SQL, and performance optimization.Experience with DBT (Data Build Tool) for data transformation and modeling.Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.Familiarity with ETL (Extract, Transform, Load) processes and tools.Excellent problem-solving and analytical skills.Strong communication and collaboration skills, with the ability to work effectively in a team environment.Experience working in an Agile development environment is a plus.Relevant certifications in Snowflake or DBT are desirable.Design, develop, and optimize data pipelines in Snowflake to support data integration, transformation, and analytics processes.Implement best practices for data modeling, storage, and access within Snowflake, ensuring scalability and performance.Collaborate with data engineers and architects to design and implement data solutions that align with business requirements.Work closely with data scientists to understand data needs for machine learning and analytics projects.Develop and maintain DBT (Data Build Tool) models for data transformation and orchestration.Perform data profiling, cleansing, and validation to ensure data quality and consistency.Monitor and optimize Snowflake performance, identifying and resolving performance bottlenecks.Create and maintain documentation for data pipelines, data models, and processes.Stay updated with industry trends and best practices related to Snowflake, DBT, and data engineering.Salary: . Date posted: 04/11/2024 08:42 PM

DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the Consumer Product Tech org to make data driven decisions while launching new features and evaluating existing features with the end goal of improving the customer experience. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow services.We are looking for talented, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilitiesYou will work with Product Managers, Data scientists and other Data Engineers to help design, develop and deliver scalable data analytics platform and data pipeline solutions to support various Science, ML initiatives and at the scale and speed of Amazon Music. In addition, you will help design, develop, and deliver components for the analytics platform at the broader org level and streamline/automate workflows for the broader DISCO organization. What You’ll Do:-Collaborate with cross-functional teams, including data scientists, data scientists, business intelligence engineers, to design and architect a modern data analytics platform on AWS, utilizing the AWS Cloud Development Kit (CDK).-Develop robust and scalable data pipelines using SQL/PySpark/Airflow to efficiently ingest, process, and transform large volumes of data from various sources into a structured format, ensuring data quality and integrity.-Design and implement an efficient and scalable data warehousing solution on AWS, using appropriate NoSQL/SQL storage and database technologies for structured and unstructured data.-Automate ETL/ELT processes to streamline data integration from diverse data sources and ensure the platform's reliability and efficiency. -Create data models to support business intelligence, providing actionable insights and interactive reports to end-users.-Enable advanced analytics and machine learning capabilities within the platform to derive predictive and prescriptive insights from the data through tools like EMR/SageMaker Notebooks-Continuously monitor and optimize the performance of data pipelines, databases, and applications, ensuring low-latency data access for analytics and machine learning tasks.-Implement robust security measures and ensure data compliance with internal requirements, industry standards, and regulations to safeguard sensitive information.-Work closely with data scientists and business intelligence engineers to understand their requirements and collaborate on data-related projects.-Create comprehensive technical documentation for the platform's architecture, data models, and APIs to facilitate knowledge sharing and maintainability.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDBASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Bachelor's degree in Computer Science, Data Science, or a related field.- Experience working with Amazon Web Services (AWS) and proficiency in leveraging various AWS services for data storage, processing, and analytics.- Solid programming skills in SQL for ETL/ELT jobs.- Strong programming skills in Python for data processing, ETL, and scripting tasks.- Familiarity with big data technologies such as Apache Spark, Apache Hadoop, or AWS Elastic MapReduce (EMR).- Solid understanding of database management systems, both relational and NoSQL, and expertise in query optimization and database performance tuning.- Excellent problem-solving and analytical skills with the ability to resolve complex data engineering challenges.- Strong communication and collaboration skills, with a demonstrated ability to work effectively in a team-oriented environment.- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.PREFERRED QUALIFICATIONS- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam- Knowledge of distributed systems as it pertains to data storage and computing- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience in building or administering reporting/analytics platforms- Master's degree in Computer Science, Data Science, or a related field.- Minimum of 5+ years of professional experience in data engineering roles, with a strong track record of building data analytics platforms.- Extensive experience working with Amazon Web Services (AWS) and proficiency in leveraging various AWS services for data storage, processing, and analytics.- Hands-on experience with AWS Cloud Development Kit (CDK) and Typescript to build infrastructure as code (IaC) for AWS resources.- Familiarity with big data technologies such as Apache Spark, Apache Hadoop, or AWS Elastic MapReduce (EMR).- Solid understanding of database management systems, both relational and NoSQL, and expertise in query optimization and database performance tuning.- Proficiency in data modeling and designing efficient data structures for analytical workloads.- Experience with CI/CD pipelines and a strong DevOps mindset to ensure continuous integration and delivery.- Excellent problem-solving and analytical skills with the ability to resolve complex data engineering challenges.- Strong communication and collaboration skills, with a demonstrated ability to work effectively in a team-oriented environment.

Total 4-6 years of Intensive working knowledge of Snowflake SQL Scripting.Working knowledge of PL/SQL and JavaScript with good knowledge of creating Stored Procedures, Functions and ViewsGood knowledge in Snowflake architecture concepts - Cloud Services, Virtual Warehouse, StorageGood exposure in performance tuning, optimization on snowflake.Basic knowledge of SAP BWGood functional business-oriented mindset as for this role the level of interactions with business users and key users.Masters/bachelor's degree in computer science or IT.Very good English skills.Very good intercultural communication and collaboration skills with minimum 2 years of experience in international collaboration.Organizational/planning skills with the ability to coordinate and manage multiple complex projects and organize workloads in a structured way within tight deadlines.Critical thinking skills and ability to work under pressure.Organized approach to solve problem with good decision-making skills.

As Automation Senior Test associate , at JPMorgan Chase, we are looking for an experienced Senior Automation Engineer Associate to join the organization and play an integral role in the build out of the test automation services required for accelerating change program delivery. This role will work in partnership with project managers, technology and testing teams to define, design and build test automation.Job Responsibilities Oversees all technology components of diverse, complex automation projects, execution, timing, functionality and quality. Communicates with end-users to provide timely and accurate information and status updates. Contributes to formulation of strategies for project leadership and other functional areas. Understand data structures; Have market data knowledge and understanding of various vendors e.g. Bloomberg, Reuters, IDC. Involved in the production of metrics, KPI and analysis to assist the team in making data-driven automation decisions. Design and implement an effective, best of breed solution to automate, capture, collate, store and maintain real time test data for purpose of validation, measuring progress and performance in change delivery. Define and implement data validation approach to ensure data solutions comply with internal and external regulations / standards and monitor data integrity, standard and consistency through iterative testing, especially where new features are being integrated. Own datasets for automation testing and those provided / used by vendors to test. Architecting, developing, and maintaining an innovative test automation environment including automation test framework design and development.Required qualifications, capabilities and skills Experience with hands on automation testing, developing and executing automated test scripts using Automated Testing Tools and frameworks such as Selenium, Cucumber, Gherkin, Groovy, Behavior Driven Development (BDD). Experience in developing UI using AngularJS , ReactJS. Expert in working with CI/CD tools like Jenkins. Experience in integrating with applications deployed to AWS Cloud. Able to write VB & Java scripting and Python / JAVA code Day-to-day responsibility of leading the automation testing effort. Identification of testing automation opportunities and test synergies within the Project. Ensure adherence to firm wide standards, controls and intelligence automation solutions governance Minimum 8 years test design, execute and management experience within the Financial Services industry supporting multiple Line of business (Required) Expertise in Agile project delivery methodology and skilled to learn and work with evolving methodologies (Required) Excellent problem solving, analytical, and communication skills (Required)Strong technical expertise in CSS Selectors and Xpath.Preferred qualifications, capabilities and skills Functional knowledge of Client Onboarding Experience in Business Process MappingAbout usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamThe Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.Salary: . Date posted: 04/19/2024 10:23 PM