Lead Data Engineer

• AWS – S3, IAM, API Gateway, EKS, EC2, EMR, Lambda, Cloud formation etc.,
• SQL – snowflake or other cloud data warehouse solutions, Oracle, MS SQL server
• Python, Java, Scala
• Kafka, Kafka streams, KSQL DB, Kafka connect preferably confluent kafka
• Docker, Kubernetes, Jenkins, Airflow
• Power BI

Work Experience:

7- 10 years to total IT experience preferably in field of data engineering

• 5+ years’ experience with AWS services including Lambda,IAM,API gateway
• 4+ years’ experience in creating and deploying dockor containers on Kubernetes
• 4+ years’ experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
• 4+ years’ experience with CI/CD pipelines toll such as Jenkins and Github Actions
• 4+ years’ experience with Snowflake data warehousing and data lake solutions
• Strong programming skill in Python, Java or Scala
• 4+ years of experience in scripting and automation using languages such as Bash, Python, or GO
• 4+ years of experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of Agile methodologies and software development lifecycle processes
  • Basic understanding of AI / Agentic AI/ Gen AI