Job Location: Chennai, Bangalore/Bengaluru
– AWS tech stack required for the project is mentioned in a table below
– Primary focus is on Glue, S3, AWS, Python, Spark, Redshift, EMR, Athena, S3, Lamda, Glue.
– Added skillset which could add value are AWS Step function, NoSQL DB like Dynamo DB and AWS Data Migration Service in that order of priority.
– Data engineer should have 3 to 8 years of relevant AWS experience with their services mentioned above. Experience in data security or governance and performance improvement is an added benefit
– Only focus is on AWS services and tech stack.
– Experience with building data pipelines and applications to stream and process datasets at low latencies.
– Show efficiency in handling data – tracking data lineage, ensuring data quality, and improving discoverability of data.
– Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
– Knowledge of Engineering and Operational Excellence using standard methodologies.
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