Analytics Engineer at Slalom
Interview Preparation Plan
At Slalom, an Analytics Engineer is responsible for designing, building, and optimizing data pipelines and data models that empower clients to derive meaningful insights from their data. This role bridges the gap between data engineering and data analysis, ensuring that data is accurate, accessible, and efficiently structured for reporting and analytical purposes. Analytics Engineers at Slalom work with modern data platforms and technologies to create robust data solutions that support digital transformation initiatives. Key aspects of the role involve collaborating with data scientists, analysts, and business stakeholders to understand data needs and translate them into technical specifications. They are involved in the entire data lifecycle, from data ingestion and transformation to data quality assurance and performance tuning. The emphasis is on building scalable and maintainable data solutions that drive business value and enable data-driven decision-making.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Develop and optimize data models and data warehouses for analytical use.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
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