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Data Engineer II, Amazon Last Mile
2 months ago
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:
Bengaluru, KA, 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
PREFERRED QUALIFICATIONS
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family 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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