Description

Build and operationalize enterprise data pipelines to support analytics and data science initiatives. Own the construction, maintenance, and optimization of reusable data pipelines while driving automation through metadata management.

Responsibilities

• Lead the construction, maintenance, and optimization of integrated and reusable data pipelines.
• Drive automation through metadata management and the renovation of data management infrastructure.
• Collaborate with Analytics Center of Excellence and EIM teams to refine data requirements.
• Propose ingestion, preparation, and integration techniques to optimize data workflows.
• Work with data governance teams to ensure compliance and responsible data usage.

Required Skills

• 7+ years of experience in data management, including integration, modeling, optimization, and data quality.
• 7+ years designing and implementing production-grade data warehousing on SQL Server, Oracle, or DB2.
• 5+ years of experience with Informatica and Informatica PowerCenter.
• 5+ years of experience with SQL and PL/SQL.
• 3+ years of experience with Shell or Perl scripting.
• 3+ years of experience with object-oriented scripting in R, Python, Java, C++, or Scala.
• 2+ years designing large-scale data solutions on Snowflake Data Warehouse.
• Experience with Palantir Foundry + AIP.

Preferred Skills

• Experience working with data science teams to optimize machine learning models and algorithms.
• Full Lifecycle Data Warehouse and Data Mart development experience.

Key Skills

Education

Any Graduate