Cloud Data Engineer - BLR

Posted Yesterday
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Hiring Remotely in India
Remote
Senior level
Agency • Information Technology
The Role
Design, build and optimize ETL pipelines and cloud data workflows using Python, PySpark, AWS Glue and Lambda. Implement data models and schemas in PL/SQL/PostgreSQL, integrate AWS services (SNS, Step Functions), and troubleshoot pipelines for performance, scalability and reliability.
Summary Generated by Built In

Location: Bangalore
Experience: 6 - 9 Years

Role Overview:

We are looking for a Data Engineer with strong expertise in Python, PySpark, AWS Glue, and Lambda. The ideal candidate should have experience in data processing, transformation, and cloud-based data workflows. A strong foundation in PL/SQL and PostgreSQL is required, and experience with AWS services such as SNS and Step Functions, along with Java API development, would be a plus.

Key Responsibilities:
  • Develop and optimize ETL pipelines using AWS Glue, Lambda, and PySpark.
  • Work with large-scale data processing and transformation using Python and Spark.
  • Design and implement data workflows for structured and unstructured data.
  • Optimize queries and data storage for performance and cost efficiency.
  • Develop and maintain data models, schemas, and database structures using PL/SQL and PostgreSQL.
  • Integrate AWS services such as SNS, Step Functions, and other cloud-based workflows.
  • Collaborate with cross-functional teams to support business data needs.
  • Troubleshoot and optimize data pipelines for scalability and reliability.
Must-Have Skills:

Python & PySpark – Strong hands-on experience
AWS Glue & Lambda – Experience in serverless data processing
PL/SQL & PostgreSQL – Basic database development and querying skills

Good to Have:

SNS & Step Functions – AWS workflow automation
Java API – Experience in API development and integration

Skills Required

  • 6-9 years of experience in data engineering
  • Python and PySpark - hands-on experience
  • AWS Glue and AWS Lambda - ETL/serverless data processing
  • PL/SQL and PostgreSQL - database development and querying
  • Designing and optimizing large-scale data processing pipelines
  • Experience with AWS SNS and Step Functions
  • Java API development and integration
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