Senior Quality Engineer

Ixiegaming

Ernakulam

On-site

INR 900,000 - 1,800,000

Full time

14 days+
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Job summary

Indium is seeking a data quality engineer in Kerala, India to validate end-to-end data pipelines and ensure governance across ingestion, transformation, and consumption layers. You will design ETL automation with Python and Pytest, perform source-to-target validation, and monitor data quality using DataGaps in cloud architectures.

You will collaborate with data engineers, architects and product teams, validate ETL workflows, and integrate automated tests into CI/CD pipelines.

Qualifications

  • Strong experience in data pipeline validation and ETL testing.
  • Proficiency in Python, PySpark, SQL, and Pytest.
  • Experience with DataGaps and Selenium frameworks.
  • Familiarity with CI/CD tools (GitHub Actions) and Git.
  • Experience with AWS Glue/Iceberg and lakehouse architectures.
  • Knowledge of test data management and JMeter performance testing.
  • Experience with Zephyr for test management and Jira for issue tracking.

Responsibilities

  • 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 and schema validation.
  • Use DataGaps 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.
  • 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.

Skills

data pipeline validation
ETL testing
data quality engineering
Python
PySpark
SQL
Pytest
Selenium
CI/CD
GitHub Actions
AWS
Docker
Kubernetes
JMeter
Zephyr
Jira

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Git
GitHub Actions
DataGaps
Tableau (preferred)
Tableau APIs

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

At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.

Indium do not solicit or accept any form of fees or payment at any stage of the hiring process.

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