Data Engineer
Core
Design, develop, and maintain scalable data solutions, pipelines, and ETL/ELT processes to support data generation, collection, and processing across systems.
Role type
Senior Data Engineer (Medallion Architecture)
Builds
Scalable data pipelines, ETL/ELT frameworks, and enterprise-grade data solutions
Domain
Cloud Data Engineering, Lakehouse Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks, Python, PySpark, SQL, Medallion Architecture (Bronze/Silver/Gold), ETL/ELT design patterns, large-scale data processing, data quality monitoring
Preferred skills
Microsoft Azure (ADF, ADLS, Synapse), GCP (BigQuery, GCS, Dataflow), Delta Lake, Lakehouse Architecture, Data Lineage, Metadata Management, Generative AI, LLMs, Agentic AI
Technologies
Databricks, PySpark, SQL, Azure, GCP, Delta Lake
Responsibilities
Design and implement scalable data architectures; build and manage batch and large-scale data processing pipelines; optimize Spark workloads for performance and cost; implement data quality checks and monitoring; collaborate cross-functionally to translate business requirements into solutions; mentor junior team members.
Seniority
Senior, hands-on IC with team leadership responsibilities