Indium Jobs

Senior Quality Engineer

Indium

Senior Quality Engineer

Posted One Month Ago

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Kochi, Ernakulam, Kerala, IND

In-Office

Senior level

Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics

The Role

Lead end-to-end data quality validation across ingestion, transformation, and consumption. Design ETL automation with Python and Pytest, perform source-to-target reconciliation and anomaly detection, validate cloud lakehouse architectures, integrate automated data tests into CI/CD, track defects in Zephyr/Jira, and mentor junior engineers.

Summary Generated by Built In

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

Skills Required

6-8 years experience in data quality or ETL testing
Bachelor's degree in Computer Science, Engineering, or related field
Strong experience in data pipeline validation, ETL testing, and data quality engineering
Proficiency in Python
Proficiency in PySpark
Proficiency in SQL
Proficiency in Pytest
Experience with Selenium
Experience with DataGaps framework
Experience with 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 and Jira
Knowledge of Docker and Kubernetes

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The Company

HQ: Westerville, OH

5,000 Employees

Year Founded: 1999

What We Do

Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact. With 5000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology—driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.