Description

You will lead data engineering efforts to build scalable technical solutions and cloud-based applications.

Responsibilities

• Translate complex business requirements into scalable technical solutions following data warehousing design standards.
• Build complex ADF data pipelines and Data Flows to ingest, transform, and sink data from on-prem sources into Snowflake.
• Develop and maintain data architecture strategies to support reporting and data visualization tools.
• Lead hybrid teams and communicate technical requirements to both technical and non-technical stakeholders.
• Design physical data models that align with best practices and Kimball analytical data models.

Required Skills

• 8+ years of experience in data engineering, computer science, or statistics.
• 2+ years of experience in a leadership or management role.
• Advanced proficiency in SQL, including joining datasets across different grains, query optimization, and pivoting.
• Extensive experience with Azure, Snowflake, and PowerBI.
• Hands-on experience building ADF pipelines and managing Azure connectors for on-prem and private network connectivity.
• Expertise in data visualization and dashboarding to drive business decisions.
• Proficiency in Python and Spark.
• Technical knowledge of TSQL, SQL Server, Azure SQL, Snowflake SQL, and Oracle SQL.
• Experience with ODBC and JDBC driver installation and configuration on Windows.

Preferred Skills

• Experience with Databricks, ADLS Gen2, and Azure PaaS services.
• Experience with Azure VNet private endpoints and Azure Storage account connectivity.
• Background in distribution or manufacturing organizations.

Key Skills

Education

Bachelor's degree