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looker python databricks dbt airflow📋 Description
- Own and maintain data pipelines, ingestion, ETL, and warehousing; meet SLAs.
- Manage and evolve data modeling environment for analysts/engineers.
- Operate and improve orchestration systems (Dagster) for reliability and observability.
- Rationalize tooling (Databricks and notebooks) toward a sustainable platform.
- Implement observability for data systems (logging, metrics) to monitor quality.
- Champion data governance and documentation; make datasets well-defined.
🎯 Requirements
- Proven experience in data engineering or infrastructure with production-grade pipelines.
- Python (Bonus Go).
- Deep ETL/ELT pipelines, dbt, integrating data into warehouses/lakes.
- Cloud data platforms (AWS, GCP) and modern data tooling.
- Workflow orchestration (Airflow, Dagster, or similar).
- Comfortable evaluating tradeoffs across notebooks/analysis platforms (Jupyter, Databricks).
🎁 Benefits
- Take ownership of the data infrastructure powering analytics and AI-ready infra.
- Shape the future of Voltus’s data platform and standardization.
- Work on production-grade pipelines and platforms for business-critical decisions.
- Collaborate with a bright, gritty team that values innovation and integrity.
- Enable Voltus to leverage data for analytics today and tomorrow’s advanced apps.
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