HamburgerMenu
hirist

Job Description

Role Overview :


We are seeking a highly skilled Data Engineer to design, build, and optimize scalable data pipelines that power analytics and business decision-making. The role requires strong hands-on expertise in modern cloud data platforms, transformation frameworks, and enterprise-grade data governance practices.


Key Responsibilities :


- Design, develop, and maintain cloud-native data pipelines using Snowflake and SQL


- Implement end-to-end data ingestion (ETL/ELT) frameworks from multiple source systems


- Apply data warehousing best practices, including Slowly Changing Dimensions (SCDs)


- Build and manage transformation layers using dbt (Data Build Tool)


- Operationalize Medallion Architecture (Bronze, Silver, Gold layers)


- Ensure version control, CI/CD, and deployment governance across Dev, Stage, and Production using GitHub and pull-request workflows


- Perform SQL performance tuning, query optimization, and root-cause analysis for data issues


- Troubleshoot and resolve data quality, pipeline failures, and technical defects


- Conduct technical sprint demos showcasing completed deliverables to stakeholders


- Collaborate cross-functionally with analytics, platform, and business teams to deliver reliable data products


Required Skills & Experience :


- Strong hands-on experience with Snowflake


- Advanced proficiency in SQL


- Solid understanding of data warehousing concepts and dimensional modeling


- Experience with SCD implementation


- Proven expertise in ETL/ELT data acquisition pipelines


- Hands-on experience with dbt for transformations


- Working knowledge of GitHub, pull requests, and controlled deployment practices


- Experience with production support, issue resolution, and performance optimization


- Excellent communication and stakeholder interaction skills


info-icon

Did you find something suspicious?

Similar jobs that you might be interested in