QA Developer, ETL

Huron

ETL Developer designing and deploying data pipelines using Informatica IICS for Huron Consulting Group. Collaborating with stakeholders and ensuring data quality standards in a hybrid role.

Posted 5/12/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformInformaticaPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy ETL workflows using Informatica IICS (Cloud Data Integration)
Build scalable data pipelines integrating multiple data sources (databases, APIs, flat files)
Implement data transformations, cleansing, and enrichment logic
Optimize ETL jobs for performance and scalability
Design and execute test strategies, test cases, and test plans for ETL workflows
Perform source-to-target data validation and reconciliation
Develop automated and reusable validation queries/scripts
Implement and monitor data quality rules and checks
Identify, log, and track defects; ensure timely resolution
Collaborate with business analysts, data architects, and stakeholders to understand requirements
Participate in UAT support, release validation, and production verification
Ensure adherence to data governance and data quality standards
Maintain detailed technical and test documentation
Contribute to continuous improvement of ETL and QA processes

Requirements

What you’ll need

4–6 years of experience in ETL development and data testing
Strong hands-on experience with Informatica IICS (Cloud Data Integration)
Proficiency in SQL for both development and data validation
Experience in data warehousing concepts (SCDs, star/snowflake schemas)
Strong understanding of ETL testing methodologies and QA lifecycle
Experience with data validation, reconciliation, and profiling techniques
Familiarity with defect tracking and test management tools
Strong analytical and problem-solving skills
Experience with IICS Data Quality (IDQ) or similar tools
Exposure to test automation frameworks for data pipelines
Knowledge of Python or scripting for automation and validation
Familiarity with cloud platforms (AWS, Azure, GCP)
Experience with modern data warehouses (e.g., Snowflake, Redshift, BigQuery)
Understanding of CI/CD pipelines in data engineering
Strong attention to detail with a quality-first mindset
Ability to manage dual responsibilities across development and QA
Effective communication and stakeholder collaboration
Proactive approach to identifying risks and improving processes
Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
401(k) plan with a generous employer match
Employee stock purchase plan
Generous Paid Time Off policy
Paid parental leave and adoption assistance
Wellness Program providing free annual health screenings and coaching,
bank at work, and ongoing programs recognizing major events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETL developmentInformatica IICSSQLdata warehousingETL testing methodologiesdata validationdata reconciliationPythontest automation frameworksCI/CD pipelines

Soft Skills

analytical skillsproblem-solving skillsattention to detaileffective communicationstakeholder collaborationproactive approachquality-first mindsetability to manage dual responsibilities