Senior DataOps Engineer
Core
Building a secure, scalable, distributed data platform to enable real-time insights, AI-enabled use cases, and informed decision-making for an electric vehicle company.
Role type
Senior DataOps Engineer (AI/ML Infrastructure)
Builds
Enterprise-scale cloud data platforms, ETL/ELT pipelines, data lakehouse solutions, and ML model deployment infrastructure.
Domain
Automotive / Electric Vehicles / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
DataOps engineering, ETL/ELT pipeline design, Databricks (Spark SQL, Delta Lake), AWS data services, Infrastructure as Code (Terraform), Python, SQL, streaming/event-based architecture, data modeling, ML model training and deployment, cloud data storage solutions.
Preferred skills
Manufacturing or automotive environment experience, experience with structured/unstructured/time-series databases, experience with Azure cloud platforms.
Technologies
Databricks, AWS (Glue, Kinesis, Firehose), Terraform, PySpark, Spark SQL, Delta Lake, Lucid, Talend, Erwin, MySQL, RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx
Responsibilities
Design and implement scalable batch and streaming data pipelines; configure and optimize Databricks clusters; build and maintain Data Integration solutions; design and build ETL/ELT infrastructure in Python; design and implement BI dashboards; design, train, and deploy ML models; implement monitoring solutions; ensure data governance and compliance; collaborate with cross-functional teams.
Seniority
Senior, hands-on IC
