- Design, develop, and support ETL interfaces for big data marketing technology platforms.

- Create new data pipelines using Python, PySpark, and other technologies.

- Optimize existing pipelines for better performance.

- Collaborate with cross-functional teams to gather requirements and discuss solution design.

- Develop and maintain documentation of data pipelines and architecture.

- Participate in customer discussions around requirement gathering and other technical topics.

Job Requirements

- Robust experience in building ETLs and data pipelines using SQL, Hive, Python, and PySpark.

- Experience with AWS BigData solutions like EMR, Glue, PySpark, and Redshift.

- Proficiency in AWS services such as S3, EC2, RDS, EMR, and Redshift.

- Ability to work flexible shifts, including UK shift (1:30 to 10:30 PM IST)



and on-call support during weekends.

- Excellent communication and interpersonal skills.

- Experience in building and optimizing RDBMS/BIGDATA data pipelines, architecture, and data sets.

About Company

Estalvis Advisors Private Limited is a leading company in the industry, offering a dynamic and supportive work environment.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Bengaluru)
🏢 Estalvis Advisors
📍 Bengaluru