Staff Engineer (e-ST)
Core
Design, develop, and maintain scalable, reliable, and performant data pipelines using Big Data technologies to handle large and complex datasets.
Role type
Staff Data Engineer (Big Data)
Builds
Sustainable data solutions, data pipelines, and data workflows for enterprise transformation.
Domain
Big Data, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Apache Spark, Hadoop, Kafka, Python, Java, Scala, Data Warehouse modelling (star schema), CI/CD pipelines, Snowflake, Databricks, Terraform, Docker, Ansible, Chef, Microservices, Streamsets, Bamboo, Informatica, IICS, DB2, AWS, Azure, Google Cloud, OpenStack, Lambdas
Preferred skills
None stated
Technologies
Hadoop, Spark, Kafka, Snowflake, Databricks, Streamsets, Bamboo, Informatica, IICS, DB2, AWS, Azure, Google Cloud, OpenStack, Docker, Ansible, Chef, Terraform
Responsibilities
Design and architect big data solutions; monitor and troubleshoot data pipeline issues; lead and mentor engineers; engage in technology strategy and data architecture; collaborate with cross-functional teams on process improvements.
Seniority
Staff, hands-on IC with strategic scope
