· 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 orchestration using industry standard tools

Roles & Responsibilities

• Hands-on experience with Cloud based Database, preferably Snowflake

• Excellent SQL / PL SQL skills

• Basic understanding on AWS

• Experience on orchestration / scheduling tool, preferably Tidal

• Experience on Python is an advantage

• Working experience on Data Warehousing and Modeling

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