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Data Engineer - AWS

Fractal • Machine Learning • Decision Intelligence • Python • SQL • ETL/ELT • Informatica • AWS Glue • 2 days ago
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Salary
≈ $15k – $36k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 15, 2026. Fractal scores B on the Alion truth index.

Overview
Company
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Profile match

Fractal

Fractal Analytics is an artificial intelligence and analytics company founded in 2000 that builds decision systems for large consumer goods, retail, financial services, healthcare and technology clients. Its work combines data engineering, machine learning and behavioural science, delivered as long-running engagements alongside a set of its own products covering demand forecasting, marketing measurement, conversational analytics and medical imaging. Headquartered in New York with its largest delivery base in India, it is backed by TPG and has become one of the better known analytics services firms to emerge from the Indian market.
fractal.ai • HQ: New York, United States • Decision Intelligence • Machine Learning • Analytics & BI Consulting • AI Consulting & Integration • 1001-5000 employees • Est. 2000
Tech stack of Fractal

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Title: AWS Data Engineer

Mandatory Skills: PySpark, SQL, AWS Glue, Athena, Redshift, Airflow

Experience 4-8 years

Location - Bengaluru

Responsibilities:

Design, develop, and maintain scalable data pipelines.

Work with Informatica PowerCenter for ETL processes.

Manage and optimize databases including Redshift, PostgreSQL, and Oracle.

Develop and maintain data solutions on AWS.

Write efficient SQL queries and scripts.

Utilize Python/PySpark for data processing and analysis.

Collaborate with cross-functional teams to understand data requirements.

Ensure data quality and integrity.

Requirements:

Proven experience as a Data Engineer or similar role.

Proficiency in Informatica PowerCenter, SQL, Redshift, PostgreSQL, Oracle, AWS, Python/PySpark, and GitHub.

Strong problem-solving skills and attention to detail.

Excellent communication and teamwork abilities.

Design, develop, and maintain scalable data pipelines on AWS.

Preferred Qualifications:

Experience with Jenkins, SVN, and Postman.

Knowledge of data warehousing concepts and best practices.

Familiarity with Agile development methodologies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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