Description

You will build and maintain data pipelines to drive operational and analytics initiatives.

Responsibilities

• Partner with finance and DT teams to execute data acquisition, transformation, and processing.
• Design and implement streaming and near-real-time data pipelines for core business systems.
• Execute unit tests and validate data accuracy and integrity through coding and analysis.
• Drive adoption of data processing using AWS services and cross-train team members.
• Prepare operations and procedures manuals to assist management with efficient system design.

Required Skills

• 5+ years of experience in data analysis or related fields.
• Proficiency in Python, Java, PySpark, or Scala.
• Experience with RDBMS and NoSQL databases.
• Hands-on work with SQL and data warehousing.
• Experience using AWS Redshift and Palantir Foundry.
• Ability to design systems, procedures, and work simplification studies.
• Strong documentation and problem resolution skills.

Preferred Skills

• Experience with cross-functional collaboration in finance and data technology teams.

Key Skills

Education

Any Gradute