Jobgether logo

Data Migration Test Analyst

Jobgether
2 days ago
Contract
Remote
India
 

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Migration Test Analyst in India.

Join a fast-paced remote technology project focused on ensuring seamless and accurate enterprise data migration across modern ETL platforms. In this role, you will play a critical part in validating large-scale migration workflows, ensuring data quality, transformation accuracy, and functional consistency between legacy and cloud-based integration systems. You’ll work closely with ETL developers, data engineers, database specialists, and business stakeholders to test and optimize complex data pipelines in a collaborative and delivery-focused environment. This position offers the opportunity to apply advanced SQL expertise and ETL testing knowledge while contributing directly to high-impact migration initiatives. Ideal for detail-oriented professionals with strong analytical and troubleshooting skills, the role combines technical validation, defect management, and process improvement in a fully remote setup. You’ll help ensure reliable, scalable, and high-performing data integration solutions across enterprise systems.

Accountabilities:

  • Design and execute comprehensive testing strategies, test plans, and test cases for ETL migration projects.
  • Validate end-to-end data migration workflows, including source-to-target mappings, business rules, transformations, aggregations, and data integrity.
  • Perform detailed SQL-based validation and reconciliation between legacy ETL outputs and newly migrated cloud-based data pipelines.
  • Develop and execute advanced SQL queries to verify joins, filters, aggregations, row counts, and transformation logic.
  • Test ETL workflows, taskflows, schedules, dependencies, restartability, and exception handling processes.
  • Identify, document, analyze, and track defects, inconsistencies, and data quality issues using defect management tools.
  • Collaborate closely with ETL developers, DBAs, data engineers, and business stakeholders to resolve technical issues efficiently.
  • Validate system performance, scalability, and operational reliability to ensure migrated workflows meet or exceed existing standards.
  • Create and maintain testing documentation including test cases, validation reports, test execution results, and sign-off documentation.
  • Provide regular project updates, testing metrics, and issue reports to project leadership and stakeholders.

Requirements:

  • Strong experience testing ETL/ELT processes and enterprise data warehouse solutions.
  • Hands-on experience with Pentaho Data Integration (PDI) and/or Informatica Cloud Data Integration (CDI).
  • Advanced SQL scripting and validation skills, including joins, subqueries, aggregates, and window functions.
  • Experience validating and reconciling data across relational database systems such as Oracle, SQL Server, PostgreSQL, Snowflake, or equivalent platforms.
  • Solid understanding of data integration concepts including source-to-target mappings, transformations, lookups, and slowly changing dimensions.
  • Experience with defect tracking and test management tools such as Jira or Azure DevOps.
  • Strong analytical, troubleshooting, and root cause analysis capabilities.
  • Ability to work independently in remote and fast-paced project environments.
  • Excellent communication and collaboration skills with technical and business stakeholders.
  • Immediate availability or short notice period is highly preferred.

Benefits:

  • Fully remote work opportunity with flexible collaboration environment.
  • Competitive monthly compensation package.
  • Opportunity to work on enterprise-scale cloud data migration initiatives.
  • Exposure to modern ETL and cloud data integration technologies.
  • Collaborative environment with cross-functional technical teams.
  • Short-term, high-impact project with immediate contribution opportunities.
  • Opportunity to strengthen expertise in ETL testing, SQL validation, and data migration projects.
  • Dynamic and fast-paced work environment focused on technical excellence and delivery quality.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.