Key Responsibilities:

- Strong hands on AWS Data Engineering experience across large scale cloud data platforms
- Expertise in AWS S3 AWS Glue AWS Lambda AWS Redshift AWS Lake Formation AWS CloudWatch and AWS IAM
- Strong experience in real time and streaming data processing using Amazon Kinesis Data Streams Kinesis Firehose Kinesis Analytics Amazon Kafka or equivalent streaming technologies
- Hands on coding proficiency in Python PySpark and SQL with strong optimization skills
- Experience building high volume low latency data ingestion and transformation pipelines
- Strong experience in Databricks Delta Lake Structured Streaming and Spark Performance Tuning
- Experience handling TB PB scale datasets partitioning strategies file optimization schema evolution and data lifecycle management
- Solid understanding of Data Lake Lakehouse and Modern Data Platform architectures
- Practical data modeling experience for analytical operational and reporting workloads




- Experience implementing CI CD pipelines using AWS CodePipeline CodeBuild CodeDeploy GitHub Actions or Jenkins
- Strong troubleshooting skills for production issues performance bottlenecks and cost optimization
- Excellent client communication stakeholder management and problem solving skills

Technical Requirements:

- Ensure data quality governance security monitoring and production support
- Collaborate with architects stakeholders and cross functional teams in Agile delivery environments
- Troubleshoot and optimize end to end AWS data platforms streaming pipelines and cloud infrastructure

Preferred Skills:

Technology->Cloud->AWS,Technology->Cloud->AWS Core services,Technology->Cloud->AWS - Database Technologies

Skills: Jenkins, Pyspark, Aws S3, Aws Lambda, Aws Redshift, Sql, AWS IAM, AWS Glue, AWS CloudWatch, AWS CodePipeline, Databricks, Python

Experience: 0.00-0.00 Years

📌 AWS Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru