Scalable, performant, secure, resilient data solutions
As a Staff Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient
Job Summary
As a Staff Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient.
You will design and develop data pipelines, automation, and visualization tools to enable modern Data and analytics solutions, and partner with data platform and infrastructure teams to architect high quality, resilient data feeds.
Experience working with petabyte scale structured/semi-structured/unstructured data efficiently by designing, building and maintaining robust data processing frameworks for enabling actionable insights and analytics.
Matching Summary
As a Staff Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient.
Skills & Requirements
Must-have
Data ingestion, processing, and curation patterns
Data mesh architecture understanding
Scalable, performant, secure, resilient data solutions
Python, SQL, Spark, Kubernetes, Kafka
Cloud technologies (Azure, AWS, GCP)
Data pipeline design and development
Data quality, security & governance practices
Nice-to-have
Customer focused data solutions
Strategic and long-term focus
Peer influencer with strong communication
Innovation and new frameworks creation
Manufacturing industry experience
Handling IOT / edge device data
Key Requirements
10+ years software engineering experience
5+ years data engineering technologies experience
Degree in Computer Science or related field
Experience architecting and rolling out data products
Experience mentoring and leading junior technical staff
Experience with Supply Chain and Semiconductor Manufacturing