Data Engineer - AWS
The AWS Data Engineer will design, develop, and maintain scalable data pipelines on AWS using PySpark, Glue, and Airflow. They will also manage Redshift, PostgreSQL, and Oracle databases while ensuring data quality and collaborating with cross‑functional teams.
Skills required
About this role
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!
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