Deliver and manage the data warehousing aspects of business intelligence and analytics. This includes the capability to architect design develop and support data extraction transformation and orchestration processes in addition to data modelling and performance optimization on the data warehouse.
Create and optimize data pipelines using Airflow Snowflake and AWS.
Work with the analytics team to design and develop the BI tool semantic layer from an engineering perspective (modelling performance optimisation etc...).
Work with other teams in the organization (upstream application tech teams and stakeholders) to plan the roadmap for the data organization and execute accordingly.
Execute proofs of concept to test and evaluate new tools and technologies relevant to business intelligence and analytics and propose adoption wherever necessary.
Your Profile
Solid experience in Airflow Python programming and SQL.
Knowledge of AWS services and kubernetes.
Bachelors in Mathematics Computer Science or other relevant quantitative fields.
Strong analytical and quantitative approach to problems.
Knowledge of Data Engineering best practices in Data Quality Observability etc.
Comfortable in dynamic and changing environment strong inclination to take responsibility for your work.
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