
Aws Data Engineer
6 days ago
Role & responsibilities :
- Design, Develop and Test data ingestion/ETL pipelines with S3 Storage, Postgres, Athena, Redshift.
- Strong experience in Python, Pyspark, SQL, Glue, Lambda and orchestration techniques
- Develops stored procedures, database triggers and SQL queries with an understanding of data warehousing objects (type-2 dimensions, CDC, aggregations, star/snowflake schema, etc).
- Knowledge of appropriate data partitioning strategy in Data Warehouse with an understand of Distribution styles/keys and Sort keys, compression level considerations, security and knowledge of Redshift underlying architecture in terms of Leader Nodes, Compute Nodes, slices and how data is distributed.
- Identify and resolve data model performance issues to optimize database performance and must be able to apply best Practices.
Total Experience: 6 to 12 years
Relevant Experience: 6 years
Notice Period: Preferring Immediate joiners to maximum 15 days
Work Mode: Remote; Flexible timing
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