Description

You will build and maintain scalable data architectures and analytical models to drive business insights.

Responsibilities

• Develop and optimize complex batch and near-real-time SQL queries.
• Design and implement reusable, scalable foundational datasets.
• Architect and maintain data-driven solutions within Snowflake and Databricks.
• Manage data pipelines supporting reports, tools, and applications.
• Conduct advanced statistical analysis to identify trends and performance metrics.

Required Skills

• 5+ years in data engineering, data analytics, supply chain, operations, or database administration.
• Expertise in SQL and optimizing Snowflake or other relational databases.
• Hands-on experience with ETL processes using SQL.
• Proficiency in data cleansing, curation, mining, and manipulation.
• Experience with configuration control using GitHub and Data DevOps.
• Familiarity with CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Understanding of database structures and modeling, such as third normal form.

Preferred Skills

• Experience with Python and libraries like Pandas for advanced analytics.
• Knowledge of manufacturing, operations, or supply chain systems and MRP/ERP (SAP).
• Experience with schema deployment, Snowflake Streams, Snowpipes, or Azure Data Factory.

Key Skills

Education

Any Gradute