Responsibilities

Design, develop, and maintain ETL/ELT pipelines using Snowflake, SQL, Python, and/or cloud services preferably AWS Build and optimize data models (staging, warehouse, Datamarts) using best practices such as micro partitioning, clustering, and performance tuning. Develop and manage data ingestion workflows from structured and semi‑structured sources (JSON, Parquet, XML, APIs, etc.). Implementation of business requirements using Snowflake features such as Streams, Tasks, Time Travel, Zero Copy Cloning, and Snowpipe for automated data loads. Collaborate with Data architects, analysts, and business stakeholders to translate requirements into scalable technical solutions. Monitor and troubleshoot pipelines for failures and issues ensuring data quality and integrity. Document data flows, transformations, and technical processes for maintainability and knowledge sharing. Excellent analytical skills and strong understanding of SQL/PLSQL. Job scheduling and orchestrati...