Description

You will own the expansion and optimization of data pipeline architecture and data flow for cross-functional teams.

This role is hybrid.

Responsibilities

• Build data acquisition and ingestion pipelines using ETL tools such as SSIS and Alteryx.
• Design and optimize data models to support various business applications and systems.
• Define data architecture frameworks, including standards for modeling, metadata, and security.
• Automate workflows to ensure timely delivery and improve data reliability and quality.
• Review modifications to existing data systems to ensure cross-compatibility.

Required Skills

• 5+ years of SQL Server development experience.
• 5+ years of ETL experience.
• 5+ years of data modeling experience.
• 5+ years of experience working across multiple database technologies including Microsoft SQL Server, Teradata, and Oracle.
• 2+ years of big data experience using Hadoop, Hive, Spark, or Snowflake.
• 1+ years of Python scripting experience.
• Expert knowledge of data warehousing principles.
• Experience with SQL Server, Teradata, Hadoop/Hive, PostgreSQL, Oracle, GCP, and Snowflake.

Preferred Skills

• Data model development using ERWIN.
• BI Lifecycle management.
• Working understanding of Microsoft VBA and HTML.

Key Skills

Education

Any Graduate