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Data Engineering Specialist for Investment Analytics
5 days ago
Link Group is seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in analytics and data engineering, with experience in building and managing data pipelines and models using tools such as dbt, Fivetran, and Snowflake.
About the Role:- We are looking for an expert who can develop 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.
The successful candidate will have excellent collaboration skills and be able 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 is essential.
Key Responsibilities:- 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.
- 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.
- Work closely with local and international colleagues to align data engineering efforts across different business lines.
- Build and maintain frameworks for data validation and testing to guarantee data quality.
- Automate infrastructure management using Terraform for scalable and reliable data systems.
- Use Git for version control to track changes in data pipelines, models, and infrastructure effectively.
Requirements include expertise in data pipelines, dbt, Fivetran, Snowflake, and data governance. Agile and Scrum methodologies are also essential. We estimate the salary for this position to be around $120,000 - $180,000 per year, depending on location and experience.
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