Data Quality engineer

3 - 8 years

1 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

SUMMARY

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.

 

Key Requirements:

Experience:  6+ years would be preferable.

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.
  • Advanced written and verbal communication skills.
  • Critical thinker.
  • Ability to project manage.
  • Detail oriented.

 

Personal Attributes:

       Very good communication skills.

       Ability to easily fit into a distributed development team.

       Ability to manage timelines of multiple initiatives.

  • Self-motivated, especially with respect to learning new software tools and best practices in software quality assurance.

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