Data Engineer - AWS
Bengaluru
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain scalable data pipelines
Develop and maintain data solutions on AWS
Write efficient SQL queries and scripts
Use Python/PySpark for data processing and analysis
Manage and optimize Redshift, PostgreSQL and Oracle databases
From the employer’s posting
Design, develop, and maintain scalable data pipelines.
Develop and maintain data solutions on AWS.
Write efficient SQL queries and scripts.
Utilize Python/PySpark for data processing and analysis.
Manage and optimize databases including Redshift, PostgreSQL, and Oracle.
What you’ll bring
All qualificationsCore experience
- 4-8 years of experience
- PySpark, SQL, AWS Glue, Athena, Redshift and Airflow
- Informatica PowerCenter, PostgreSQL, Oracle and GitHub
- Strong problem-solving skills and attention to detail
Qualification wording
Experience 4-8 years
Mandatory Skills: PySpark, SQL, AWS Glue, Athena, Redshift, Airflow
Proficiency in Informatica PowerCenter, SQL, Redshift, PostgreSQL, Oracle, AWS, Python/PySpark, and GitHub.
Strong problem-solving skills and attention to detail.
Tools in this posting
- Python
- SQL
- AWS
- Oracle
- PostgreSQL
- Redshift
- Airflow
- PySpark
Source — Tool mentions in context
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.
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.
Job Title: AWS Data Engineer Mandatory Skills: PySpark, SQL, AWS Glue, Athena, Redshift, Airflow Experience 4-8 years
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
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 13 days ago
- Recorded sightings
- 23
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job 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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Source details
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- Pay
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- Location & working pattern
Bengaluru
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