Mid-level Data Engineer
Core
Design, build, and operationalize complex data solutions to support AI, ML, and BI insights for customers.
Role type
Mid-level Data Engineer
Builds
Scalable data architectures, robust data engineering pipelines, and data consumption layers
Domain
Data Engineering / Cloud Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud platform familiarity (AWS/Azure/GCP), Data governance, Data security, Data quality, Data transformation, System analysis, Incident resolution, Code testing
Preferred skills
Spark, Hadoop, Kafka, pandas, scikit-learn, SQL, OLTP/OLAP/DSS, Databricks certification
Technologies
AWS, Azure, GCP, Spark, Hadoop, Kafka, pandas, scikit-learn, SQL, Databricks
Responsibilities
Design and build complex data solutions, guide customers on technical decisions, track progress across multiple accounts, analyze data sources for value, incorporate data governance and security, collaborate on delivery and user education, resolve moderate complexity defects, test data movement and transformation code
Seniority
Mid-level, hands-on IC
