Description

Own the development, optimization, and support of enterprise ETL pipelines and data integration processes.

This role is hybrid.

Responsibilities

• Develop and maintain ETL processes using SSIS, Python, and SQL for SQL Server and Oracle.
• Monitor scheduled jobs, troubleshoot bottlenecks, and resolve Level 2/3 support issues.
• Build and optimize data pipelines to ensure efficient ingestion, transformation, and data integrity.
• Write complex SQL queries, stored procedures, and reverse-engineer existing processes.
• Perform code reviews to ensure adherence to standards and optimal execution patterns.

Required Skills

• 5+ years of SSIS development experience.
• 5+ years of Python coding experience.
• 5+ years of SQL Server development with large datasets.
• Proficiency in SQL Server and Oracle databases.
• Experience with structured, semi-structured, and unstructured data.
• Understanding of data management, security, and governance best practices.

Preferred Skills

• Experience with Enterprise Schedulers/Orchestration platforms (Tidal, Airflow).
• Experience with cloud data warehouses like Snowflake.
• Experience developing ETL pipelines using Databricks PySpark.

Key Skills

Education

Master's degree