Warehouse Person Salary in Hyderabad - PayScale

DESCRIPTIONThe Amazon transportation controllership team is looking for a Senior Data Engineer who is data-driven and detail oriented, to partner in expanding our financial data systems to support our global transportation network. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountabilityKey job responsibilities- Architect and develop end to end scalable data infrastructure and data pipelines- Develop data products, deploy highly performant solutions, build data infrastructure leveraging AWS services (such as EC2, Redshift, EMR, Lambda, Quicksight etc.)- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to data pipelines.- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.- Provide technical and thought leadership for Data Engineering and Business Intelligence- Create and implement Data Governance strategy for mitigating privacy and security risks- Design, implement, and support a platform providing secured access to large datasets.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete data solutions.- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way- Analyze and solve problems at their root, stepping back to understand the broader context.- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWSA day in the lifeWork with the largest dataset in logistics management anywhere in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen Ai and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.About the teamTrans Controllership in Finance is one of the most challenging and exciting spaces to work for, with new geographies, new modes and new carriers being launched every day and being required to seamlessly integrate with the Transportation technical systems for automatic Ingestion of Freight invoices, thorough auditing, timely payment and for proper accounting to keep our books clean and accurate. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- - Design & Implementation of automated data contract and data quality enforcement mechanisms- - Expertise at least in 1 data Orchestration tool- - Working experience in CDKPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses- Master's degree- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Knowledge of distributed systems as it pertains to data storage and computing- - Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- - Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering- - Strong understanding and experience with DBMS internals.- - Strong understanding of system performance and scaling- - Knowledge on LLM and Gen Ai.

BASIC QUALIFICATIONS• 2+ years of tax, finance or a related analytical field experience• 2+ years of Experience with SQL or ETL• Experience defining requirements and using data and metrics to draw business insights• Advanced Excel skills with experience writing complex VBA macros.DESCRIPTIONMore than 50% of units sold Worldwide on Amazon are by now from Marketplace Selling Partners. Amazon is continuously innovating on behalf of these Selling Partners to make Customers happy.The Amazon Marketplace team is looking for a high performing, motivated Business Analyst to support our business in launching new dashboards and internal-facing data products. In this role you'll have the opportunity to deliver results using core AWS products including Redshift, Quicksight, S3, Sagemaker, EC2, Lambda and Glue. If you're a problem solver with the ability to dive deep into our huge data warehouse and produce scalable solutions, then this role is for you! Our team supports other businesses who want to sell on Amazon. While we are based in Australia, we have a global scope as we support organisations who want to sell to globally and locally. The Business Intelligence team is critical to ensuring that our organisation is equipped with the right insights to drive decision making.The business analyst is responsible for driving deep insights about our business for our business leaders and driving continuous improvement using the data. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. You will work closely with program managers, business intelligence engineers and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways.Key job responsibilitiesOwn the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, self-service data tools and Quicksight.Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territoriesPreparing and delivering business reviews to the senior management team regarding progress and roadblocksEnable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatDefine the business problem and solution approach autonomously with limited guidance.Write concise documents communicating results to stakeholders and visualize data to drive decision makingA day in the lifeAs a Business Analyst, you will be expected to collaborate with both technical and non-technical stakeholders. You will use Redshift SQL to create queries and pull data into Quicksight to create powerful visualisations. You will also be expected to understand the metrics we report on and why they were implemented in the way they were in order to provide feedback to your stakeholders. You will also play a key role in the development of a reliable and scalable data platform, as well as a suite of self-service applications for ongoing reporting and analytics. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS• Experience with data visualization using Tableau, Quicksight, or similar tools• Experience analyzing large datasets and interpreting data with Redshift, Oracle, NoSQL etc.Salary: . Date posted: 04/16/2024 10:24 PM