Data Quality Tester | 4+ Years

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Job Title: Data Quality Tester (ETL Tester)

Experience: 4+ Years

Work Model: Complete Work From Home (WFH)

Immediate Joiners Preferred

Primary Skills:

  • SQL
  • ETL Testing Concepts
  • Python Scripts
  • Airflow
  • AWS Redshift or Snowflake or DataBriks
  • ETL Production Support
  • ETL Alerts/Monitoring
  • AWS ETL Tool Stack
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Job Description:

We are actively seeking an experienced and motivated Data Quality Tester (ETL Tester) to join our team. This is a remote position, offering flexibility and the opportunity to work with cutting-edge technologies in data testing and quality assurance. If you have a strong background in ETL testing and related skills, we encourage you to apply for this exciting opportunity.

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Key Responsibilities:

As a Data Quality Tester (ETL Tester), your role will encompass a range of responsibilities including:

  1. ETL Testing: Conduct end-to-end testing of ETL processes to ensure data accuracy, integrity, and performance.
  2. SQL Expertise: Develop and execute SQL test cases and scripts for data validation and verification.
  3. Python Scripting: Utilize Python scripts for automation and data testing tasks.
  4. Airflow Integration: Work with Airflow for scheduling and monitoring data workflows.
  5. Data Warehousing: Collaborate with data engineers to ensure data is properly ingested, transformed, and loaded within data warehousing platforms such as AWS Redshift, Snowflake, or DataBriks.
  6. ETL Production Support: Provide support for ETL production processes, ensuring data consistency and reliability.
  7. Alerts and Monitoring: Set up and maintain ETL alerts and monitoring systems to proactively identify and address data issues.
  8. AWS ETL Tool Stack: Utilize the AWS ETL tool stack for data processing and transformation.

Qualifications:

To excel in this role, you should meet the following qualifications:

  1. Experience: A minimum of 4 years of experience in data quality testing, with a strong focus on ETL testing.
  2. SQL Proficiency: Profound proficiency in SQL for data validation and analysis.
  3. ETL Testing Concepts: Strong understanding of ETL testing methodologies and best practices.
  4. Python Skills: Familiarity with Python scripting for automation and data validation.
  5. Airflow Knowledge: Experience working with Airflow for scheduling and monitoring data workflows.
  6. Data Warehousing: Knowledge of data warehousing platforms like AWS Redshift, Snowflake, or DataBriks.
  7. ETL Production Support: Previous experience in ETL production support roles.
  8. Alerts and Monitoring: Capability to set up and maintain alerts and monitoring systems.
  9. AWS ETL Tool Stack: Familiarity with AWS ETL tool stack for data processing.
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How to Apply:

If you meet the above qualifications and are interested in joining our team, please share your updated CV and relevant details with us at Kamesh.emani@gmail.com. We are looking for immediate joiners to fill this position.

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