Description

You will build and maintain complex data pipelines to deliver accurate and timely data across various products.

This role is on-site.

Responsibilities

• Build data pipelines according to transformation specifications to load source data into the data lake using the proprietary big data processing platform.
• Develop and maintain data engineering processes using T-SQL, Spark, Scala, and shell scripting, focusing on ingestion, validation, and report generation.
• Review and test data to ensure accuracy and validity before uploading to the data lake.
• Troubleshoot data issues, perform data analysis, and identify root causes across the environment.
• Support and improve current data ingestion processes for proprietary healthcare data applications and systems.

Required Skills

• 10+ years of industry experience with data aggregation, standardization, linking, quality check mechanisms, and reporting.
• 5+ years experience with big data technologies, specifically Hadoop and Spark.
• 5+ years experience with RDBMS (Oracle, MS SQL Server) using SQL or other ETL tools.
• Proficiency in SQL and ETL Process development.
• Experience with Spark and Scala.
• Solid understanding of Linux environments, including shell scripting and file systems.
• Familiarity with Agile environments.

Key Skills

Education

Any Graduate