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Job Description
Structured overview of role & requirementsAbout This Role
Own the validation of end-to-end data migrations ensuring data accuracy, completeness, and integrity for customer go-lives.
Develop and optimize complex SQL queries and build scalable data models to support analytics and reporting needs.
Implement automated data quality checks and pipeline orchestration using Python and tools like Airflow, dbt, Great Expectations, or Deequ.
Minimum Requirements
4 – 7 years of experience in Data Engineering or Analytics Engineering.
Strong expertise in both SQL and Python as mandatory technical skills.
Hands-on experience with PostgreSQL or similar relational databases, including query optimization and performance tuning.
Experience in data migration validation or data quality checks, and familiarity with version control using Git.
Ideal Candidate Profile
Experienced working with data validation and quality frameworks in role-critical customer delivery environments.
Proficient in building and maintaining automated data pipelines and orchestration workflows to meet SLAs.
Comfortable working in roles requiring deep SQL optimization and Python scripting for data automation.