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Job Description & How to Apply Below
- Build and maintain data pipelines from multiple sources
- Handle data migration and system integration
- Ensure data quality, consistency, and accuracy
- Work closely with Data Analysts to deliver analysis-ready data
- Document pipelines, data structures, and processes
- Manage cloud data warehouses and reporting tools in a secure and organized way
- 6+ months of experience in data engineering, ETL, or a similar role (internship experince included)
- Proficient in Python or JavaScript for data processing & automation
- Familiar with Google Sheets and Google Apps Script
- Solid understanding of relational databases and SQL
- Experience with ETL or pipeline tools (Apache Airflow, dbt, or similar)
- Familiar with cloud data warehouses (Snowflake, Big Query, or similar)
- Familiar with data visualization tools (Looker Studio, Metabase, or similar)
- A self-starter who can work independently in a growing environment
- Experience with API integrations (CRMs, third-party tools, etc.) is a plus
- Involvement in a past data migration or new system implementation (nice to have)
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