Description

You will build and operationalize data pipelines within an enterprise ecosystem to support multi-faceted analytics and data science initiatives.

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 for new initiatives.
• Propose ingestion, preparation, and integration techniques to optimize data requirements.
• Work with data governance teams to ensure compliance and responsible data usage by consumers.

Required Skills

• 7+ years of experience in data management, including integration, modeling, optimization, and data quality.
• 7+ years of experience designing and implementing production-grade data warehousing solutions 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/object function scripting in R, Python, Java, C++, or Scala.
• 2+ years of experience designing and implementing 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.
• Experience with Agile methodologies or automation tools like AutoSys or CNTL-M.
• Certifications in NoSQL or Hadoop-oriented databases such as MongoDB or Cassandra.

Key Skills

Education

Any Graduate