Description

You will design, build, and maintain data engineering pipelines on Google Cloud Platform, integrating with on-premise systems.

This role is on-site.

Responsibilities

• Design and implement data transformation and processing solutions using Teradata utilities.
• Develop and maintain data pipelines using Python and SQL against disparate data sources.
• Analyze and manipulate complex datasets using various programming languages and tools.
• Collaborate with teams to deliver data solutions adhering to development methodologies.

Required Skills

• 7+ years of experience building and executing data engineering pipelines.
• 7+ years of experience with SQL.
• 6+ years of experience with Python.
• 7+ years of hands-on experience with bash shell scripts, UNIX utilities, and UNIX commands.
• 5+ years of hands-on experience with GCP, BigQuery, and Cloud SQL.
• 5+ years of experience with databases like Teradata, DB2, Oracle, or SQL Server.
• Knowledge of software development methodologies including waterfall and agile.

Preferred Skills

• Familiarity with Healthcare or PBM systems.
• GCP Data Engineer certification.

Key Skills

Education

Any Gradute