Data Engineer
Core
Design and implement scalable data solutions for enterprise-scale data transformation, ingestion, processing, storage, and analytics.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data warehousing solutions, and integrations on Azure using Databricks
Domain
Enterprise data engineering, cloud data platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Databricks, PySpark, Azure Data Factory, Azure Data Lake Storage Gen2, Azure Event Hubs, Azure SQL, Azure Key Vault
Preferred skills
Kafka, Delta Lake, Pandas, CI/CD, Agile practices
Technologies
Databricks, Azure, PySpark, Kafka, Delta Lake
Responsibilities
Design, build, test, and maintain ELT data pipelines; implement secure platforms with data governance; propose technical designs and develop integrations; deliver data migrations between legacy and modern platforms; design and deliver data warehousing solutions; support cross-functional teams across the data space
Seniority
Senior, hands-on IC
