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
- 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.
- Solid 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.
- Strong 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.

📌 AWS Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru