AWS Data Engineer | 5 to 10 years | Bangalore | 18 to 30 LPA | Big4

Job Title: AWS Data Engineer

Experience: 5 to 10 Years

Budget: 20 to 30 LPA

Location: Bangalore

Type: Full-Time

Mandatory Skills Required: AWS + Python + PySpark + SQL + Snowflake, Glue, Lambda, Redshift, Step Functions.

Job Description:

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and data solutions on AWS. The ideal candidate should have strong experience in Python, PySpark, SQL, and AWS data services.

Key Skills Required:

• Strong experience with AWS services such as Glue, Lambda, Redshift, and Step Functions
• Hands-on experience with Python, PySpark, and SQL
• Experience working with Snowflake for data warehousing
• Expertise in building and optimizing ETL/ELT pipelines
• Good understanding of data modeling, data transformation, and data integration
• Experience working with large-scale data processing in cloud environments
• Ability to troubleshoot, optimize, and maintain data workflows

Roles & Responsibilities:

• Design and develop scalable data pipelines using AWS services
• Build and manage ETL workflows using AWS Glue and PySpark
• Develop serverless data processing solutions using AWS Lambda and Step Functions
• Integrate and manage data in Snowflake and Redshift
• Write optimized SQL queries for data transformation and analysis
• Ensure data quality, performance, and reliability across pipelines
• Collaborate with data analysts, data scientists, and engineering teams to deliver data solutions