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Data Engineer II, Amazon Last Mile
1 week ago
As part of the Last Mile Science & Technology organization, you'll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network.
You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems.
You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena).You should have deep expertise and passion in working with large data sets, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns.
You will work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction.Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role.
Key job responsibilities- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
- Extract huge volumes of structured and unstructured data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses.
- Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting
- Perform detailed source-system analysis, source-to-target data analysis, and transformation analysis
- Participate in the full development cycle for
ETL:
design, implementation, validation, documentation, and maintenance.
We are open to hiring candidates to work out of one of the following locations:
Hyderabad, TS, IND
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with nonrelational databases / data stores (object storage, document or keyvalue stores, graph databases, columnfamily databases)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
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Hyderabad, Telangana, India ADCI HYD 13 SEZ Full timeCome help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of...
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Hyderabad, Telangana, India ADCI HYD 13 SEZ Full timeCome help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of...
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Hyderabad, Telangana, India ADCI HYD 13 SEZ Full timeCome help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of...
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