Description

You will manage and optimize enterprise-level data integration and ETL processes.

This role is hybrid.

Responsibilities

• Provide Level 2 and Level 3 support for existing ETL processes, monitoring scheduled jobs to resolve bottlenecks.
• Develop ETL processes using SSIS, Python, and SQL for SQL Server and Oracle environments.
• Build and optimize data pipelines for ingestion, transformation, and loading of structured, semi-structured, and unstructured data.
• Perform code reviews to ensure adherence to standards and optimal execution patterns.

Required Skills

• 5+ years of experience in SSIS development.
• 5+ years of experience in Python coding.
• 5+ years of experience in SQL Server based development for large datasets.
• Proficiency in writing SQL queries, stored procedures, and reverse engineering existing processes.
• Experience with ETL processes and data warehousing.
• Ability to work with Oracle databases.
• Experience implementing data management, security, and governance best practices.
• Degree in an engineering or computer science discipline.

Preferred Skills

• Experience with Databricks, PySpark, or Snowflake.
• Knowledge of OLTP, Dimensions, Facts, and Data modeling.
• Experience with enterprise schedulers or orchestration platforms like Tidal or Airflow.

Key Skills

Education

Any Graduate