Data Engineer
Core
Designing and building scalable enterprise-grade data platforms, modern data pipelines, and cloud-based analytics architectures.
Role type
Senior Data Engineer (Enterprise Data Platforms)
Builds
Scalable data pipelines, ETL/ELT workflows, and enterprise data architectures on Databricks and Snowflake.
Domain
Enterprise data platforms, cloud analytics, distributed data processing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Databricks, Snowflake, Airflow/Dagster/Prefect, AWS/Azure/GCP, Spark/PySpark, data modeling, data governance, CI/CD, DevOps
Preferred skills
AI-assisted development tools (GitHub Copilot), streaming pipelines, batch processing frameworks
Technologies
Databricks, Snowflake, Airflow, Dagster, Prefect, AWS, Azure, GCP, Spark, PySpark, GitHub Copilot
Responsibilities
Design, develop, optimize, and maintain scalable data pipelines; Build robust ETL/ELT workflows; Develop and manage enterprise data architectures; Architect high-performance data engineering solutions; Implement data quality, governance, monitoring, security, and observability best practices; Lead technical discussions and provide guidance to junior and mid-level engineers.
Seniority
Senior, hands-on IC with mentoring responsibilities
