Test Data Engineer at leading digital testing boutique firm · Delhi · 5 - 8 years · ₹11L - ₹15L / yr · Posted 20 Jan 2026
Data Analytics
Amazon Web Services (AWS)Review Criteria
- Strong Data / ETL Test Engineer
- 5+ years of overall experience in Testing/QA
- 3+ years of hands-on end-to-end data testing/ETL testing experience, covering data extraction, transformation, loading validation, reconciliation, working across BI / Analytics / Data Warehouse / e-Governance platforms
- Must have strong understanding and hands-on exposure to Data Warehouse concepts and processes, including fact & dimension tables, data models, data flows, aggregations, and historical data handling.
- Must have experience in Data Migration Testing, including validation of completeness, correctness, reconciliation, and post-migration verification from legacy platforms to upgraded/cloud-based data platforms.
- Must have independently handled test strategy, test planning, test case design, execution, defect management, and regression cycles for ETL and BI testing
- Hands-on experience with ETL tools and SQL-based data validation is mandatory (Working knowledge or hands-on exposure to Redshift and/or Qlik will be considered sufficient)
- Must hold a Bachelor’s degree B.E./B.Tech else should have master's in M.Tech/MCA/M.Sc/MS
- Must demonstrate strong verbal and written communication skills, with the ability to work closely with business stakeholders, data teams, and QA leadership
- Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)
Preferred
- Relevant certifications such as ISTQB or Data Analytics / BI certifications (Power BI, Snowflake, AWS, etc.)
Job Specific Criteria
- CV Attachment is mandatory
- Do you have experience working on Government projects/companies, mention brief about project?
- Do you have experience working on enterprise projects/companies, mention brief about project?
- Please mention the names of 2 key projects you have worked on related to Data Warehouse / ETL / BI testing?
- Do you hold any ISTQB or Data / BI certifications (Power BI, Snowflake, AWS, etc.)?
- Do you have exposure to BI tools such as Qlik?
- Are you willing to relocate to Delhi and why (if not from Delhi)?
- Are you available for a face-to-face round?
Role & Responsibilities
- 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
- Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
- Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
- Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
- Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
- Experience of conducting test of migrated data and defining test scenarios and test cases for the same
- Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
- Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations
Ideal Candidate
- 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
- Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
- Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
- Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
- Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
- Experience of conducting test of migrated data and defining test scenarios and test cases for the same
- Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
- Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
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- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
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Required Skills
- 5–7 years of hands-on experience in Data Engineering.
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- Strong expertise in Advanced SQL and database concepts.
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Experience: 6–10 Years
Budget: 25–30 LPA
Work Mode: Weekdays
Job Description
We are looking for an experienced ETL Developer with strong expertise in Hadoop, PySpark, Python, and SQL to design, develop, and optimize data processing and transformation solutions. The ideal candidate should have hands-on experience working with big data technologies, building scalable ETL pipelines, and managing data for data warehousing and analytics.
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- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
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- Implement data quality, validation, monitoring, and error-handling processes.
- Develop and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
- Collaborate with data analysts, data scientists, software engineers, and business teams.
- Optimize data pipelines for performance, reliability, and scalability.
- Troubleshoot production data issues and ensure timely resolution.
- Follow best practices for version control, code quality, testing, and deployment.
Mandatory Skills
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We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, PySpark, Python, and SQL. The candidate should have hands-on experience in developing data pipelines, processing and transforming large datasets, and working with data warehousing and big data technologies.
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Opportunity Details
Role: ETL Developer – Hadoop & PySpark
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Location: Bangalore
Mandatory Skills
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Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.
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- Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.
Database & Platform Engineering
- Design and optimize relational database schemas and data structures.
- Analyze and improve SQL/query performance.
- Support indexing, partitioning, storage optimization, and database performance.
- Implement appropriate database security and access controls.
- Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
- Troubleshoot database and pipeline performance issues.
- Contribute to cloud data-platform configuration and optimization.
Data Quality
- Implement automated validation and data-quality controls.
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- Implement cleansing, standardization, validation, and exception-management logic.
- Work with technical and business stakeholders to understand and implement business data rules.
Technical Delivery
- Convert technical designs into reliable production solutions.
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- Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
- Document technical designs, mappings, configurations, operational procedures, and engineering decisions.
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- Experience with data validation and reconciliation.
- Strong troubleshooting and analytical skills.
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- Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
- Experience with manufacturing, retail, distribution, or consumer-goods data.
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- Experience with API and event-driven integrations.
- Previous consulting or technology-services experience.
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- Pipelines and databases perform reliably at enterprise scale.
- Engineering solutions are maintainable, reusable, and well documented.
- Data issues are detected and addressed systematically.
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PythonData Engineer Short Hiring Post
🚨 Hiring: Data Engineer
🔹 Experience: 5–9 Years
🔹 Location: Bangalore / Hyderabad
🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling
🔹 Process: L1 Virtual → L2 F2F Karat Test
🔹 F2F: Bangalore / Hyderabad Location
🔹 Positions: Immediate requirement
⚠️ Note: Candidates must be available for F2F Karat immediately after L1.
#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners
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Qualifications and Skills:
- Minimum 5 years of experience as a Data Engineer
- Hands-on experience with Azure cloud-based data solutions
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- Proficiency in Power BI for reporting and data visualization
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- Python or R coding skills
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- Implement different methods of streaming data and create reconciliations for datasets
- Build analytical models to support reporting and analytics
- Collaborate with an agile delivery team to work on the backlog of specified work
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon