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Key Responsibilities
Design, develop, and optimize data pipelines using Snowflake and ETL/ELT frameworks.
Write complex SQL queries, stored procedures, and performance-optimized transformations.
Build and maintain scalable data ingestion and transformation workflows.
Implement data warehouse solutions, data modeling, and data integration processes.
Work with Python and PySpark for data processing and transformation.
Optimize Snowflake query performance, warehouse utilization, and compute costs.
Integrate data from multiple sources, including cloud storage, databases, and APIs.
Implement data quality checks,



error handling, and monitoring.
Collaborate with data architects, analysts, and business stakeholders.
Follow best practices for data security, governance, and access management.

Mandatory Skills
Snowflake: Hands-on experience with Snowflake data warehouse, SQL, and query optimization.
SQL: Robust experience writing complex queries, joins, CTEs, window functions, and performance tuning.
ETL/ELT: Experience developing and maintaining data pipelines.
Python: Data processing, transformation, and automation.
Data Modeling: Experience with dimensional modeling, schema design, and data warehouse concepts.
Cloud Data Platforms: Experience with AWS, Azure, or GCP.

Good-to-Have Skills
PySpark / Apache Spark
Databricks and Delta Lake
Apache Airflow or other workflow orchestration tools
Snowflake Streams, Tasks, Snowpipe, and Dynamic Tables
Snowflake performance tuning and cost optimization
CI/CD, Git, and automated testing
Cloud storage and data lake integration

📌 Senior Analyst Pune
🏢 eClerx
📍 Pune