Related skills
bigquery sql python spark power bi📋 Description
- BigQuery management: monitor and optimize data infra.
- ETL/ELT pipelines across sources (Lattice, payroll, internal systems).
- Data cleaning and preparation for accurate reporting.
- Data solutions development: dashboards and reports.
- Technical support in performance cycles; ensure data integrity.
- Technical documentation: maintain data models and tools.
🎯 Requirements
- Data engineering: Python, SQL, Spark.
- Cloud: Google Cloud Platform (BigQuery).
- Visualization: Looker Studio and Power BI.
- Experience with Lattice, DataCamp, PSA; Google Workspace.
- AI tooling to optimize workflows.
- English communication, B2+.
🎁 Benefits
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
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