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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL/ELT data pipelines using Snowflake, dbt, SQL, and Python.
Build and optimize data models (OLTP, OLAP, Data Vault 2.0) and support enterprise analytics and reporting.
Implement and manage CI/CD pipelines with Azure DevOps and Git for efficient deployment and release management.
Minimum Requirements
5+ years of professional experience in Data Engineering with enterprise data pipeline development.
Strong expertise in Snowflake, SQL, Python, and dbt including performance tuning and data transformation.
Experience with CI/CD tools and processes (Azure DevOps, Git) for deployment automation.
Not explicitly mentioned: mandatory degrees, notice period, location requirements, or regulatory constraints.
Ideal Candidate Profile
Experienced in modern cloud data warehousing best practices and enterprise data architecture.
Skilled in building governed, reusable data assets with strong focus on data quality and reliability.
Able to collaborate effectively with data architects, analysts, and business stakeholders for scalable solutions.