Bridge Design Engineer Salary in Hyderabad - PayScale

BASIC QUALIFICATIONS- SQL mastery is a must- Some scripting knowledge (python, R, scala)- Stakeholder management- Dashboarding (Excel, Quicksight, Power BI)- Data analysis and statistics- KPI designDESCRIPTIONAt Amazon, we strive to be the most innovative and customer centric company on the planet. Come work with us to develop innovative products, tools and research driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers and software developers. This role is based out of our Hyderabad corporate office and is for an passionate, dynamic, analytical, innovative, hands-on, and customer-obsessed Business Analyst. Your team will be comprised of Business Analysts, Data Engineers, Business Intelligence Engineers based in Hyderabad, Europe and the US.Key job responsibilitiesThe ideal candidate will have experience working with large datasets and distributed computing technologies. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, is passionate about data and analytics. He/she should be an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data analysis & engineering. He/she should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.A day in the lifeKey job responsibilities:This role primarily focuses on deep-dives, creating dashboards for the business, working with different teams to develop and track metrics and bridges.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- In-depth research of drivers of the Localization business- Analyze key metrics to uncover trends and root causes of issues- Suggest and build new metrics and analysis that enable better perspective on business- Capture the right metrics to influence stakeholders and measure success- Develop domain expertise and apply to operational problems to find solution- Work across teams with different stakeholders to prioritize and deliver data and reporting- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Maintain BI architecture including our AWS account, database and various analytics tools.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Power BI and Power Pivot in Excel- AWS fundamentals (IAM, S3, ..)- Python- Apache Spark / ScalaSalary: . Date posted: 04/16/2024 10:21 PM

Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies.As a Senior Lead Data Engineer at JPMorgan Chase within the CCB Connected Commerce Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers. Job responsibilities Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data​​ Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way Defines database back-up, recovery, and archiving strategy Generates advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithms Approves data analysis tools and processes​ Creates functional and technical documentation supporting best practices​​ Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Design & develop data pipelines end to end using Spark SQL, Java and AWS Services. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services. Contributes to software engineering communities of practice and events that explore new and emerging technologies Evaluates and reports on access control processes to determine effectiveness of data asset security​ Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years of applied experience. Hands-on practical experience in system design, application development, testing and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language. Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming. Proficient in coding in one or more Coding languages - Java, Python Experience with Relational and No SQL databases, Cloud implementation experience with AWS including: AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills Snowflake knowledge or experience preferred In-depth knowledge of the financial services industry and their IT systems Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP About usJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.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 TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.Salary: . Date posted: 04/22/2024 10:26 PM