Mid-level Data Engineer
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Job Description
Data Engineer responsible for designing scalable data architecture and managing ETL pipelines at Octo Edtech. Collaborate with teams to enhance educational data insights through analytics.
Responsibilities:
- Design and evolve scalable data architecture to support all company products
- Build and maintain robust, monitorable ETL/ELT pipelines
- Develop integration connectors with internal systems and client platforms
- Implement dimensional modeling for analytical environments
- Ensure data quality, governance, and reliability
- Create dashboards and reports in Looker / Metabase
- Develop custom visualizations when necessary
- Structure datasets, metrics, and KPIs for self-service analytics
- Automate strategic reports and alerts
- Support exploratory analyses and insight generation
- Create performance indicators for educational products
- Support Product and Leadership teams in data-driven decision making
Requirements:
- 2+ years of experience in Data Engineering
- Experience building production ETL/ELT pipelines
- Hands-on experience with Apache Airflow or similar tools
- Strong advanced SQL skills
- Practical experience with BI tools (Looker, Metabase, Tableau, Power BI, or similar)
- Experience with dimensional modeling and analytical architecture
- Essential Technical Skills: Advanced SQL, Python (Pandas, NumPy, Airflow), Airbyte, PostgreSQL / BigQuery / ClickHouse, Looker / Metabase, Git, ETL / ELT / Data Warehousing
Benefits:
- Flexible working hours
- Remote
- Necessary equipment provided
- Professional development opportunities
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