Save Job
Posted 1y ago

Cloud Data Engineer - BLR

India
OnsiteFull Time
Responsibilities:Developing ETL pipelines, Optimizing data processing, Collaborating with teams
Requirements Summary:Strong expertise in Python, PySpark, AWS Glue, and Lambda with experience in data processing and cloud-based workflows.
Technical Tools Mentioned:Python, PySpark, AWS Glue, AWS Lambda, PL/SQL, PostgreSQL, Java API
Save
Mark Applied
Hide Job
Report & Hide
Job Description

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