Analytics Engineer
- Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Ensure data integrity and quality across various data sources.
- Support data-driven decision-making by providing clean, reliable, and timely data.
- Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain.
- Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
- Conduct exploratory data analysis to uncover data patterns and trends.
- Identify opportunities for process improvement and drive continuous improvement in data operations.
- Stay updated on industry trends, technologies, and best practices in data engineering.
- Excellent knowledge of PostgreSQL and SQL technologies.
- Fluent in Python.
- Understanding of data architecture, pipelines and ELT flows/technology/methodologies. Understanding of agile methodologies and practices.
- Experience using dbt (Data Build Tool).
- Experience using pipeline technologies within AWS.
- Knowledge of data modeling and statistics.
- Be part of a leading global venture builder, Blenheim Chalcot and learn from the incredible talent in BC
- Be exposed to the right mix of challenges and learning and development opportunities
- Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc
- 25 days of paid holiday + your birthday off! One day extra after 3 years
- Free snacks in the office
- Quarterly team socials
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