Data/ETL test lead

Key Responsibilities : 

Agile Scrum Ceremonies & Collaboration:
Participate actively in Sprint Planning to analyze user stories, define acceptance criteria, and estimate testing efforts (story points).
Attend Daily Stand-ups to report testing progress, blockages, and data dependencies.
Engage in Backlog Grooming and Sprint Retrospectives to continuously improve team processes and Data Migration / ETL testing workflows.
Proactively collaborate with developers and data engineers for early testing and rapid defect resolution.

Track, manage, and log defects throughout the defect lifecycle using tools like Service Now, Jira or Azure DevOps.

 

ETL & Data Validation Testing:
Review Source-to-Target Mapping (STM) documents and business rules to design robust test scenarios.
Write and execute complex SQL queries for data verification, counts, and reconciliation between source systems, staging areas, and data warehouses/marts.
Validate data transformations, aggregations, filtering logic, and boundary conditions.
Perform data integrity, data truncation, NULL-value handling, and duplicate checks.

 

Automation(Good to have) 

Build, maintain, and execute automated ETL test scripts using frameworks like Pytest, Python, or Java.
Integrate testing routines within CI/CD pipelines (Jenkins, Azure DevOps, or GitHub Actions).

 

 

Required Qualifications & Skills:
Experience: 8+ years of hands-on experience in ETL/Data Warehouse testing and backend data validation.
Agile Knowledge: Proven experience working in an Agile/Scrum software development lifecycle.
Database & SQL: Advanced SQL querying skills across relational databases (SQL Server, Oracle, PostgreSQL) or cloud platforms (GCP, Snowflake, Databricks, AWS/Azure).
ETL Tools: Familiarity with enterprise ETL tools (Informatica, SSIS, Talend, or AWS Glue) or cloud data processing frameworks.
Soft Skills: Strong analytical, communication, and problem-solving abilities to bridge technical gaps with business stakeholders.

 

Good to have:

Scripting: Basic to intermediate programming skills in Python or Java for test automation

Responsibilities

Key Responsibilities : 

Lead a team of data/ETL testers

Test strategy & planning 

Test reporting & governance 

Participate actively in Sprint Planning to analyze user stories, define acceptance criteria, and estimate testing efforts (story points).
Attend Daily Stand-ups to report testing progress, blockages, and data dependencies.
Engage in Backlog Grooming and Sprint Retrospectives to continuously improve team processes and Data Migration / ETL testing workflows.
Proactively collaborate with developers and data engineers for early testing and rapid defect resolution.

Track, manage, and log defects throughout the defect lifecycle using tools like Service Now, Jira or Azure DevOps.

 

ETL & Data Validation Testing:
Review Source-to-Target Mapping (STM) documents and business rules to design robust test scenarios.
Write and execute complex SQL queries for data verification, counts, and reconciliation between source systems, staging areas, and data warehouses/marts.
Validate data transformations, aggregations, filtering logic, and boundary conditions.
Perform data integrity, data truncation, NULL-value handling, and duplicate checks.

Cutover and production migration validation

 

Automation(Good to have) 

Build, maintain, and execute automated ETL test scripts using frameworks like Pytest, Python, or Java.
Integrate testing routines within CI/CD pipelines (Jenkins, Azure DevOps, or GitHub Actions).

 

 Required Qualifications & Skills:
Experience: 8+ years of hands-on experience in ETL/Data Warehouse testing and backend data validation.
Agile Knowledge: Proven experience working in an Agile/Scrum software development lifecycle.
Database & SQL: Advanced SQL querying skills across relational databases (SQL Server, Oracle, PostgreSQL) or cloud platforms (GCP, Snowflake, Databricks, AWS/Azure).
ETL Tools: Familiarity with enterprise ETL tools (Informatica, SSIS, Talend, or AWS Glue) or cloud data processing frameworks.
Soft Skills: Strong analytical, communication, and problem-solving abilities to bridge technical gaps with business stakeholders.

 

Good to have:

Scripting: Basic to intermediate programming skills in Python or Java for test automation

Qualifications

BE/MCA

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