AWS Data Engineer

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
• 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

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