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Requirement:
8+ years of experience in Data Engineering.
5+ years of hands-on experience with AWS data services.
Strong proficiency in Python and/or Scala.
Strong SQL and data modeling expertise (OLAP, dimensional modeling, lakehouse).
Good to have:
Spark / PySpark
Airflow or similar orchestration tools
REST APIs and microservices
Experience building ETL/ELT pipelines at scale.
. Experience using GitHub Copilot or similar AI-assisted development tools in enterprise environments.
. Solid understanding of IAM, encryption, networking, and cloud security best practices.
Preferred Qualifications
. AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
. Experience with streaming technologies (Kafka, Kinesis).
. Experience with containerization (Docker, Kubernetes).
. Knowledge of Delta Lake, Iceberg, or Hudi.
. Experience implementing data observability solutions.
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.
Job ID: 145009607