W2 candidates only || Data Engineer || In-Person Interview || will consider H1B Transfer***NoC2C**

We are seeking experienced Data Engineers with strong expertise in Apache Spark, AWS, Kubernetes/EKS, and Big Data platforms.
About the RoleThe Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and architectures to support our data-driven initiatives.
Responsibilities

• 5+ years of Data Engineering experience
• Strong hands-on experience with Apache Spark
• Experience with Amazon EKS / EMR on EKS
• Big Data technologies: Hadoop, Hive, Trino
• Strong Python or Scala development skills
• Advanced SQL (window functions, joins, complex queries)
• Kubernetes administration and troubleshooting
• AWS services: S3, EMR, Glue, Athena, Lambda
• Experience processing large-scale datasets and tuning Spark jobs
• Familiarity with AI tools such as GitHub Copilot, ChatGPT, Claude, or Amazon Q

Required Skills

• 5+ years of Data Engineering experience
• Strong hands-on experience with Apache Spark
• Experience with Amazon EKS / EMR on EKS
• Big Data technologies: Hadoop, Hive, Trino
• Strong Python or Scala development skills
• Advanced SQL (window functions, joins, complex queries)
• Kubernetes administration and troubleshooting
• AWS services: S3, EMR, Glue, Athena, Lambda
• Experience processing large-scale datasets and tuning Spark jobs
• Familiarity with AI tools such as GitHub Copilot, ChatGPT, Claude, or Amazon Q

Preferred Skills

• CI/CD (GitLab, Jenkins, GitHub Actions, ArgoCD)
• Terraform / Infrastructure as Code
• Docker, Prometheus, Grafana
• Spark on Kubernetes
• Financial Services experience