Full-Time

ETL Tester

Posted on 2/21/2026

Fractal Analytics

Fractal Analytics

5,001-10,000 employees

Enterprise AI solutions for decision making

No salary listed

Mumbai, Maharashtra, India + 4 more

More locations: Pune, Maharashtra, India | Chennai, Tamil Nadu, India | Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India

In Person

Category
QA & Testing (1)
Required Skills
Talend
JUnit
SQL
Postgres
ETL
AWS
Informatica
Selenium
DevOps
Oracle
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in ETL testing, data quality assurance, or a similar role.
  • Strong proficiency in SQL for data validation, querying, and analysis.
  • Hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS, AWS Glue, or similar).
  • Familiarity with data warehouse concepts, data models, and database management systems (DBMS) such as Oracle, SQL Server, or PostgreSQL.
  • Experience with test automation tools and frameworks is a plus (e.g., Selenium, JUnit, or custom scripting for data tests).
  • Strong analytical and problem-solving skills with attention to detail.
  • Knowledge of CI/CD pipelines and experience integrating testing in DevOps environments is a plus.
  • Excellent communication and collaboration skills.
Responsibilities
  • ETL Testing: Design, develop, and execute test cases for ETL processes to verify data extraction, transformation, and loading.
  • ETL Testing: Validate data at different stages (source, transformation, and destination) to ensure the accuracy and completeness of data.
  • ETL Testing: Identify and report data discrepancies, errors, and anomalies during the ETL process, ensuring that they are addressed promptly.
  • ETL Testing: Verify data quality rules, business logic, and mappings used in the ETL processes.
  • Data Validation: Perform data validation and reconciliation between source and target systems to ensure data integrity.
  • Data Validation: Create SQL queries to validate data transformations and conduct data profiling to identify data quality issues.
  • Data Validation: Validate ETL performance, including the efficiency of data loads and transformations, and ensure that SLAs are met.
  • Test Automation: Develop and maintain automated test scripts to streamline the ETL testing process, using tools and frameworks.
  • Test Automation: Work closely with development teams to integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines.
  • Defect Management: Track, manage, and report defects and issues related to the ETL process using defect management tools.
  • Defect Management: Collaborate with the development and data engineering teams to resolve issues and ensure that fixes are applied effectively.
  • Test Planning and Documentation: Develop detailed test plans, test cases, and test scripts based on business requirements, ETL specifications, and data models.
  • Test Planning and Documentation: Document test results, test coverage, and data validation processes to ensure comprehensive testing.
  • Test Planning and Documentation: Provide regular updates on test progress, results, and any issues to project stakeholders.
  • Collaboration: Work closely with data engineers, developers, business analysts, and QA teams to understand business requirements and technical specifications.
  • Collaboration: Participate in project meetings, provide input on data quality, and contribute to discussions about ETL process improvements.
  • Collaboration: Ensure thorough communication with team members to foster a collaborative environment and solve complex data quality issues.
  • Continuous Improvement: Continuously review and refine testing processes to improve accuracy, efficiency, and coverage.
  • Continuous Improvement: Stay up to date with industry trends, best practices, and emerging technologies related to ETL testing and automation.
Desired Qualifications
  • Experience working with large-scale data environments, data lakes, or cloud platforms like AWS, Azure, or Google Cloud.
  • Experience with BI reporting tools like Power BI, Tableau, or Looker.
  • Knowledge of scripting languages (e.g., Python, Shell scripting) for test automation.

Fractal Analytics helps large enterprises use AI to improve decision making by combining AI, data engineering, and design across multiple products. Its offerings include Crux Intelligence for AI-driven insights, Eugenie.ai for sustainability, Asper.ai for revenue growth, and Senseforth.ai for conversational AI, plus Qure.ai in healthcare. The company applies machine learning, NLP, and data science to extract insights, automate tasks, and power enterprise conversations across analytics, sustainability, revenue, and customer interactions. Its goal is to power every human decision in the enterprise by delivering a broad enterprise-focused AI portfolio with a global delivery footprint and recognition from industry analysts and awards.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2000

Simplify Jobs

Simplify's Take

What believers are saying

  • Healthcare segment grew 82% YoY in Q4 FY26, driven by AI health assistant topping OpenAI HealthBench.
  • PiEvolve agent surpasses 60% on OpenAI MLE-Bench, targeting supply chain and finance optimizations.
  • Selected for India AI Mission to build national large reasoning model, boosting R&D with IPO funds.

What critics are saying

  • Six mega-clients drive $120M+ revenue; churn to Deloitte or Accenture guts growth in 12 months.
  • Anchor lock-up ends February 2027; SBI MF and LIC dump shares, crashing price 15%.
  • Fortune 500 in-house AI teams at Google, JPMorgan displace Fractal's 5,000 consultants by 2028.

What makes Fractal Analytics unique

  • Fractal delivers 'Decision Intelligence' via Dual-Engine of Fractal.ai services and Fractal Alpha ventures.
  • Launched LLM Studio using NVIDIA infrastructure for enterprise-grade generative AI customization.
  • Incubated Qure.ai, TIME100-listed healthcare AI detecting tuberculosis and lung cancer.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Holidays

Parental Leave

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

1%
PR Newswire
Mar 5th, 2026
Newly listed Fractal crosses $12M net income in Q3, revenue grows 21% YoY

Fractal Analytics, a newly listed AI company, reported consolidated revenue of INR 8,544 million for Q3 FY2026, growing 21% year-on-year. The company's profit after tax reached INR 1,001 million, whilst adjusted EBITDA grew 24% to INR 1,521 million. Growth was driven by the Healthcare and Life Sciences segment, which grew 78% year-on-year, and Banking and Financial Services, up 26%. Fractal expanded its gross margin to 47.2% and achieved a net revenue retention of 114%. The company's AI health assistant became the first model to score above 50 on OpenAI's HealthBench (Hard), outperforming ChatGPT-5 and Gemini Pro 3. Fractal now serves six clients generating over $20 million in revenue each, up from four previously.

PR Newswire
Feb 24th, 2026
Fractal launches PiEvolve, surpassing 60% on OpenAI's MLE-Bench for autonomous machine learning

Fractal, a global enterprise AI company, has launched PiEvolve, an evolutionary agentic engine for autonomous machine learning and scientific discovery. The system ranks among top-performing agents on OpenAI's MLE-Bench, becoming the first evaluated agent to surpass 60% in Overall Medal Rate and 80% in MLE-Bench-Lite performance. PiEvolve continuously tests and improves solutions using a graph-structured search architecture that integrates reasoning, code generation and validation. It delivers competitive results within 24 hours whilst maintaining efficiency, with strong performance evident after just 12 hours of runtime. The system features continuous optimisation, intelligent memory to avoid local optima, dual strategy for debugging, and production-ready capabilities including pause and resume functions. Fractal aims to deploy PiEvolve across complex optimisation problems in supply chains, financial services and data centre operations.

Press Trust of India
Feb 9th, 2026
Fractal Analytics IPO receives lukewarm response with 9% subscription on day one

Fractal Analytics' initial public offering received a muted response on its first day of bidding on Monday, garnering just 9% subscription. The AI solutions provider received bids for 15.8 lakh shares against 1.86 crore shares on offer. The retail individual investors category attracted 35% subscription, whilst the non-institutional investors quota achieved 7% subscription. The three-day IPO continues through the week.

NiftyGPT
Feb 4th, 2026
Fractal Analytics launches ₹2,834cr IPO at ₹857-900, allocates 35% to AI R&D

Fractal Analytics has opened a ₹2,834-crore IPO at ₹857-₹900 per share, down from an original ₹4,900-crore target. The Mumbai-based analytics firm will allocate ₹355 crore—approximately 35% of proceeds—to AI development, research and investments, with remaining funds servicing debt and capital expenditure. The company is focusing resources on its Cogentic platform, which provides AI solutions for invoice-to-cash, customer experience and revenue growth. Fractal aims to expand margins and strengthen its position in healthcare, banking and consumer goods sectors. The IPO's timing benefits from easing US-India trade tensions and improved client spending conditions. The successful pricing may encourage further AI-focused listings in India's public markets.

The Hindu BusinessLine
Feb 3rd, 2026
Fractal Analytics slashes IPO size 42% to ₹2,834 crore ahead of February listing

Enterprise AI solutions unicorn Fractal Analytics has reduced its initial public offering size by 42% to ₹2,834 crore, according to a prospectus filed with SEBI on 2 February. The IPO comprises a fresh issue of ₹1,024 crore and an offer for sale of ₹1,810 crore. Major shareholders Quinag Bidco (managed by Apax Partners), TPG Fett Holdings and GLM Family Trust will sell stakes through the offer. The IPO opens on 9 February and closes on 11 February, with anchor bidding beginning on 6 February. The company had initially filed for an IPO size of ₹4,900 crore. Fractal has been selected by the Indian government to build India's first large reasoning model under the India AI Mission.

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