Data Engineer - AWS
Fractal Analytics28 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data pipelines on AWS.
- Develop and maintain AWS-based data solutions.
- Work with Informatica PowerCenter for ETL processes.
- Manage and optimize Redshift, PostgreSQL, and Oracle databases.
- Write efficient SQL queries and scripts and use Python/PySpark for data processing and analysis.
- Collaborate with cross-functional teams to understand data requirements.
- Ensure data quality and integrity.
Requirements
- 4–8 years of experience as a Data Engineer or in a 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.
- Preferred experience with Jenkins, SVN, and Postman.
- Knowledge of data warehousing concepts and best practices.
- Familiarity with Agile development methodologies.
Benefits
- The role is located in Bengaluru.
Tech Stack
Categories
Data Engineering
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.