Posted:6 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Role:

Data Quality


Key Responsibilities:

  • Design and execute ETL test plans and cases, including automated scripts.
  • Validate data transformations and loading processes, utilizing automation where possible.
  • Identify and document data discrepancies and errors, automating error detection.
  • Perform data quality profiling and analysis, employing automated data quality checks.
  • Write and execute SQL queries for data validation and automate data validation processes.
  • Test database stored procedures and functions, creating automated test suites.
  • Document test results and create detailed reports, automating report generation.
  • Track and manage defects using bug tracking tools and automate defect reporting.
  • Collaborate with developers and analysts to resolve data issues and contribute to automated testing frameworks.
  • Ensure data compliance with business rules and standards, implementing automated compliance checks.


Required Skills:

  • 5+years of experience in data quality and ETL testing.
  • Strong understanding of ETL concepts, data warehousing principles, and database systems.
  • Proficiency in SQL and experience with relational databases (PostgreSQL/ SQL Server, Snowflake).
  • Experience with ETL tools (e.g., Informatica, Talend, DataStage, AWS Glue, Azure Data Factory).
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.
  • Familiarity with data quality tools and techniques.
  • Experience with test management and bug tracking tools (e.g., Jira, Azure DevOps).
  • Experience with Agile/Scrum methodologies.

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