Full-Time
AWS Data Engineer
Posted on 11/23/2025
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
 Data & Analytics (1) |
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- Minimum 3 years’ experience implementing transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- At least 2 years implementing solutions using AWS services such as Lambda, AWS Athena and Glue AWS S3, Redshift, Kinesis, Lambda, Apache Spark
- Experience working with data warehousing data lakes or Lakehouse concepts on AWS
- Experience implementing batch processing using AWS Glue/Lake formation, & Data Pipeline
- Experience in EMR/MSK
- Develop object-oriented code using Python, besides PySpark, SQL and one other languages (Java or Scala would be preferred)
- Experience on Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis
- Experience building pipelines and orchestration of workflows in an enterprise environment using Apache Airflow/Control M
- Experience implementing Redshift on AWS or any one of Databricks on AWS, or Snowflake on AWS
- Good understanding of Dimensional Data Modelling will be a plus
- Ability to multi-task and prioritize deadlines as needed to deliver results
- Ability to work independently or as part of a team
- Excellent verbal and written communication skills with great attention to detail and accuracy
- Experience working in an Agile/Scrum environment
- As a Data Engineer, you will be responsible implementing complex data pipelines and analytics solutions to support key decision-making business processes in our client’s domain
- You will gain exposure to a project that is leveraging cutting edge AWS technology that applies Big Data and Machine Learning to solve new and emerging problems for our clients
- You will gain a added advantage of working very closely with AWS Professional Services teams directly executing within AWS Services and Technologies to solve complex and challenging business problems for Enterprises
- Work closely with Product Owners and AWS Professional Service Architects to understand requirements, formulate solutions, and implement them
- Implement scalable data transformation pipelines as per design
- Implement Data model and Data Architecture as per laid out design
- Evaluate new capabilities of AWS analytics services, develop prototypes, and assist in drawing POVs , participate in design discussions
- Experience with AWS DynamoDB will be a plus
- Knowledge of AWS Lake Formation and Data Catalog will be a plus
- Experience with Databricks on AWS or Snowflake on AWS will be a plus
- Experience with Redshift on AWS will be a plus
- Experience with Apache Spark on AWS will be a plus
- Experience with Apache Airflow/Control-M will be a plus
- Experience with AWS Glue will be a plus
- Experience with AWS Athena will be a plus
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's Take
What believers are saying
- Q3 revenue grew 21% YoY; Healthcare segment surged 78% YoY.
- Six clients now generate $20M+ revenue each, up from four.
- Triple-digit SaaS subscription growth offers valuation re-rating potential.
What critics are saying
- 10% revenue from single Magnificent 7 client risks sudden loss.
- PE shareholders flood market with ₹1,810 Cr OFS post-May 13.
- OpenAI's o1 models commoditize Fractal's consulting via cheaper APIs.
What makes Fractal Analytics unique
- India's first listed enterprise AI company with Fortune 500 client base.
- PiEvolve autonomous ML engine surpasses 60% on OpenAI's MLE-Bench.
- Healthcare AI model outperforms ChatGPT-5 and Gemini Pro 3.
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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
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 1%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.
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.
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.
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.
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.