Senior Analyst

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: Strong 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