Be part of a product team of 8-10 Platform Engineers that are the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and Machine Learning /advanced analytics platforms at Seagate
Apply your hands-on subject matter expertise in the Architect, Develop and administration of Big Data platforms - Data Warehouse Appliances , Hadoop (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/GCS/Other) and experience ML and Data Science platforms (Spark ML , H2O , KNIME)
Architecting solutions for analytics platform that increase efficient use of infrastructure improve end to end SLA of data analytics pipeline.
Should have very good understanding for Data Engineering and Analytics Platform automations
Exposure to interact with end customers, understand requirement and help design data analytics platform and data engineering pipeline
Strong understanding of cloud platforms K8S architecture

You re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing analytics
As a motivated self-starter, you have the experience working in a dynamic environment
Strong appetite for constant learning, thinking out of the box, questioning the problems solutions with the intent to understand and solve better
You re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities as well
Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
Excellent interpersonal skills to develop relationships with different teams and peers in the organization

Solid technical skills with a proven and successful history working with data at scale and empowering organizations through data
Big data processing frameworks: Spark, Hadoop, Hive, Kafka, EMR
Advanced experience and hands-on architecture and administration experience on big data platforms
Data Warehouse Appliances, Hadoop (AWS EMR, HortonWorks, K8S, Trino), Data Lake Technologies (AWS S3/Athena /Other) and experience with ML and Data Science platforms ( Spark ML , H2O , KNIME )
Python, Java, Scala
Architecting and developing big data solutions on cloud (AWS or Other)
DevOps, Continuous Delivery, and Agile development