How much salary can I expect as a Senior Data Quality Engineer in Indium Software India in Kochi?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Senior Data Quality Engineer in Indium Software India in Kochi?

The candidate should have completed the required education and people who have 6 to 8 years are eligible to apply for this job. You can apply for more jobs in Kochi to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Kochi at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

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Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

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Senior Data Quality Engineer

Indium Software India

Senior Data Quality Engineer

Indium Software India

Kochi

Not disclosed

Work from Office

Full Time

Min. 6 years

Job Description

Sr. Quality Engineer

Job Title: Senior Data Quality Engineer

Experience: 6–8 Years

Job Description: • Own end-to-end data quality validation across ingestion, transformation, and consumption layers • Design and maintain ETL automation frameworks using Python and Pytest • Perform source-to-target validation, reconciliation, and anomaly detection • Validate cloud-based data architectures (data lakes, warehouses, streaming platforms) • Implement data quality rules such as null checks, schema validation, and integrity checks • Use DataGaps (preferred) or similar tools for data quality monitoring • Collaborate with data engineers, architects, and product teams to ensure quality • Validate ETL workflows, scheduling, and failure handling mechanisms • Execute SQL and Python-based validations for batch and real-time data • Integrate automated data tests into CI/CD pipelines • Track and report defects using Zephyr and Jira • Ensure compliance with data governance and regulatory standards • Mentor junior engineers and contribute to best practices and frameworks Required Skills: • Strong experience in data pipeline validation, ETL testing, and data quality engineering • Proficiency in Python, PySpark, SQL, and Pytest • Experience with Selenium and DataGaps frameworks • Knowledge of CI/CD tools (GitHub Actions) and version control (Git) • Experience with AWS (Glue, Iceberg) and lakehouse architectures • Familiarity with test data management techniques • Experience with performance testing tools (JMeter) • Experience with Zephyr test management tool • Knowledge of Docker and Kubernetes Preferred: • Experience with healthcare or regulated datasets • Experience validating APIs, Tableau reports, and UI • Familiarity with Agile methodologies Education: • Bachelor’s degree in Computer Science, Engineering, or related field