
Sr SQL Test Engineer
3 days ago
Job Title: Sr SQL Test Engineer Databricks (Data Migration)
Location: Remote
Experience: 5+ Years
Employment Type: Contract 2 months (Can Extend )
Job Overview
We are seeking a highly skilled SQL Test Engineer with advanced SQL expertise and strong experience in data validation for data migration projects to Databricks. The ideal candidate will have hands-on knowledge of Databricks, experience in testing large-scale data pipelines, and the ability to design and execute comprehensive validation strategies. Knowledge of SAP BusinessObjects (BO) is an added advantage.
Key Responsibilities
- Perform advanced SQL testing to validate data accuracy, integrity, and transformations across multiple sources and targets.
- Conduct data validation and reconciliation for large-scale data migration projects into Databricks.
- Work closely with data engineers, migration teams, and business analysts to ensure data quality and compliance.
- Develop and execute test cases, queries, and scripts for data validation and ETL testing.
- Identify, document, and track data issues, working with stakeholders for resolution.
- Provide test reports and validation sign-offs for data migration milestones.
- Collaborate with cross-functional teams to improve testing processes, automation, and frameworks.
Required Skills & Experience
- Advanced SQL skills with expertise in writing complex queries for validation and reconciliation.
- Proven experience in data testing/validation for migration projects, preferably involving Databricks.
- Strong understanding of ETL workflows, data warehousing, and big data ecosystems.
- Ability to analyze large datasets and ensure data completeness, consistency, and accuracy.
- Hands-on experience in Databricks environment (Delta Lake, Spark SQL, Dataframes preferred).
- Excellent problem-solving, debugging, and communication skills.
Nice to Have
- Knowledge of SAP BusinessObjects (BO) for reporting and validation.
- Familiarity with data governance and data quality frameworks.
- Exposure to cloud platforms (Azure, AWS, or GCP) integrated with Databricks.
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