Experience using GitLab and CI/CD pipelines in a collaborative development environment.
Understand how to build and optimize ETL processes and data storage.
Proficiency in SQL and Python; familiarity with PostgreSQL and relational data modeling.
Work with APIs, data lakes, and data warehouses to integrate and store data efficiently.
Working understanding of SQLAlchemy, Postgres, PgAdmin, and Postgres extensions.
Experience with Grafana, Prometheus, MinIO, GitLab runners, or similar data and observability tools.
Experience designing or supporting scalable data solutions in a Kubernetes environment.
Experience with data visualization, business intelligence, semantic models, or metric definitions.
Understanding production environments and experience communicating data issues, priorities, and tradeoffs to stakeholders or management.
Experience working with a wide variety of data structures and integrating custom and commercial systems.
Languages: Python, SQL, C#, Bash
Data Processing & Analytics: Pandas, NumPy, dbt (Data Build Tool), Dagster
Data Visualization & BI: Tableau, Power BI, Metabase
Databases & Warehouses: PostgreSQL, DuckDB, Redis
DevOps & Containerization: Docker, Git, Gitlab CI/CD Pipelines