Data Ops Engineer
Core
Build a secure, scalable, distributed data platform to enable real-time insights, AI-enabled use cases, and informed decision-making for an electric vehicle manufacturer.
Role type
Senior Data Ops Engineer (Cloud & ML Infrastructure)
Builds
Cloud data infrastructure, ETL/ELT pipelines, data models, BI dashboards, and deployed ML models.
Domain
Automotive / Electric Vehicles / Cloud Data Engineering
Deliverable
production ML models | infrastructure | dashboards & analysis
Required skills
Python, SQL, AWS (Glue, Kinesis, Firehose), Terraform, Databricks, streaming/event-based architectures, structured/unstructured/time-series databases, cloud data storage (RDS, DynamoDB, MongoDB, Cassandra, InfluxDB), data governance, ML model deployment
Preferred skills
Manufacturing or automotive environment experience, forecasting with ML algorithms
Technologies
AWS, Azure, Python, SQL, Terraform, Databricks, Lucid, Talend, Erwin, MySQL Workbench
Responsibilities
Design and implement cloud infrastructure data platform using infrastructure-as-code; build data integration solutions with software and systems teams; design and maintain enterprise data models; implement ETL/ELT automation; design and deploy BI dashboards; train and deploy machine learning models; implement monitoring solutions; ensure data platform compliance with security standards.
Seniority
Senior, hands-on IC
