Data Engineer - AWS

Overview

Design, build and maintain scalable data pipelines and data solutions on AWS, with ETL work in Informatica PowerCenter and databases including Redshift, PostgreSQL and Oracle.

What you'll do

• 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.

What you'll need

• Mandatory skills: PySpark, SQL, AWS Glue, Athena, Redshift, Airflow.
• 4-8 years of experience.
• 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.

Nice to have

• Experience with Jenkins, SVN, and Postman.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with Agile development methodologies.

Details

• Location: Bengaluru.