Data Engineer
1 miesiąc temu
Job Overview:
We are looking for a Data Engineer with a strong background in analytics to join our expanding team. In this role, you will take the lead in developing a solid data foundation that drives data-driven strategies and unlocks the full potential of investment data. You will play a key role in optimizing data pipelines, enhancing data integration, and supporting strategic decision-making with robust analytics capabilities.
Key Responsibilities
Data Modeling & Infrastructure:
- Develop and maintain data models using tools like dbt to ensure data is structured and ready for analysis.
- Design and implement reliable data pipelines to ingest, clean, and process investment-related data from diverse sources.
Data Integration & Management:
- Connect and integrate data sources using Fivetran, ensuring smooth data flow into our Snowflake data warehouse.
- Implement data governance policies and manage access controls to safeguard sensitive investment data.
Collaboration & Alignment:
- Work closely with local and international colleagues to align data engineering efforts across different business lines.
Quality & Automation:
- Build and maintain frameworks for data validation and testing to guarantee data quality.
- Automate infrastructure management using Terraform for scalable and reliable data systems.
Version Control & Documentation:
- Use Git for version control to track changes in data pipelines, models, and infrastructure effectively.
Required Skills & Experience
- A solid technical background in data and analytics engineering.
- Proven experience in building and managing data pipelines and models using tools such as dbt, Fivetran, and Snowflake.
- A strong understanding of data governance, privacy, and compliance best practices.
- Excellent collaboration skills to work seamlessly with colleagues across different regions, time zones, and functions.
- A proactive mindset with the ability to work independently and drive projects forward.
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