Description

Build automation solutions and data pipelines within enterprise-scale data environments.

This role is hybrid.

Responsibilities

• Design and maintain automated business processes, including scripting, task scheduling, error handling, and logging.
• Translate manual business workflows into fault-tolerant, fully automated solutions by collaborating with process owners.
• Write optimized SQL queries and stored procedures for SQL Server and troubleshoot performance issues.
• Develop data pipelines and integrate them with Python using Snowflake.
• Manage code and workflows using version control (Git) and CI/CD practices.

Required Skills

• 8+ years of experience in data engineering or related field.
• Expert proficiency in Python, including Pandas and SQLAlchemy.
• Strong experience with SQL Server, writing complex queries and procedures.
• Practical experience with Snowflake SQL and data pipeline interactions.
• Proficiency in testing frameworks such as PyTest.
• Hands-on experience with Git for version control.
• Familiarity with CI/CD Pipelines and secure deployment practices.
• Working knowledge of AWS or hybrid cloud environments.

Key Skills

Education

Any Graduate