AWS Data Engineer- Pyspark with Databricks or Snowflake

7 - 12 years

20 - 32 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Description Data Engineer Core Technical Skills Snowflake & Spark Building and managing scalable data pipelines. Spark-based transformations and ETL workflows. Expertise in PySpark, including optimization techniques and cost management. Snowflake-specific capabilities: o Performance tuning and query optimization. o Partitioning and clustering strategies. o Cost control and resource management. o Advanced features such as Time Travel, Zero-Copy Cloning, and Streams & Tasks for data engineering workflows. Delta Lake concepts (ACID transactions, Z-Ordering, OPTIMIZE, VACUUM) for hybrid architectures. SQL & Relational Databases o Advanced SQL query writing. o PostgreSQL expertise (window functions, CTEs, query plans, indexing strategy). Streaming & Messaging o Apache Kafka for real-time ingestion and topic management. o Understanding of event-driven architecture. AWS & Cloud Services o Excellent in AWS Glue, Lambda, Step functions and Data Analytics services.

Roles and Responsibilities

Technical Lead

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Information Technology and Services

Bengaluru

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