Data Engineer - AWS
Fractal Analytics Bengaluru, Karnataka, India
Business Consulting and Services · 5,001-10,000 employees
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About the role
Design, develop, and maintain scalable data pipelines while managing and optimizing databases like Redshift, PostgreSQL, and Oracle. Collaborate with cross-functional teams to ensure data quality and integrity using Python, PySpark, and SQL.
What they look for
Requirements
Requires 4-8 years of experience in data engineering with proficiency in Informatica PowerCenter, AWS services, and database management. Strong problem-solving skills and the ability to work effectively within a team are essential.
Full description
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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