Data Engineer
Core
Build and orchestrate data extraction and transformation systems from diverse sources (relational DBs, cloud providers, no-code platforms) to support enterprise data analytics and decision-making.
Role type
Senior Data Engineer (ETL/ELT pipelines)
Builds
Data extraction and transformation pipelines supporting analytics teams
Domain
Enterprise data infrastructure, Cloud data warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT development, PySpark, Pandas, Data Warehousing concepts, CI/CD tooling, Cloud Data Warehouse solutions, Data flow orchestration
Preferred skills
Experience with startups, Apache Airflow, Airbyte, Kubernetes, Microservices, Event-Driven architecture
Technologies
Python, SQL, PySpark, Pandas, StitchData, Fivetran, Google BigQuery, Apache Airflow, Airbyte, Kubernetes
Responsibilities
Orchestrate data extraction from multiple data sources; Build systems for data extraction and transformation; Write clean, documented Python code; Develop ETL/ELT pipelines; Implement CI/CD for code analysis, testing, and deployment; Apply software development best practices (TDD, KISS)
Seniority
Senior, hands-on IC
