Database Management & Enhancement:

- Maintain & enhance existing transactional databases to ensure high data quality and performance.

- Data Warehouse Management ensuring the data warehouse contains all relevant sources of data from across the business, adding additional data sources where gaps are identified.

- Refine and review the current database structures implementing efficiency improvements to manual processes.

- Ensure best practices are used for database performance & data validation techniques.

- Ensure all code changes are stored in the source control system, reviewing code and suggesting code improvements where applicable.

ETL Processes:

- Maintain current ETL processes and address any anomalies within the current processes.

- Lead the removal of legacy data movement processes into the chosen architecture ensuring best practices are used throughout the processes.

- Document new ETL processes at point of creation gaining feedback from other data team members.

Continuous reviews of current ETL processes to ensure security and most effective and cost-effective solutions are in place for all data movement throughout the business.





Data Governance:

- Ensuring all data processes and data stores have fully up-to-date documentation to capture the types of data stored.

- Support the data protection team with requests and process amendments.

- Processes confidential data and personal data according to legislations of each country UP Fitness operates in.

- Compile and update documentation around the data estate for non-technical stakeholders to consume and understand the different data sources.

Data Analytics:

- Assist the Group Data Controller with the rollout of Data Science & Machine Learning into the business.

- Produce Datasets of high quality for data analytical & reporting purposes ensuring template scripts can be reused by all data team members.

- Involvement in key decisions around dataset usage across the data estate including reporting and analytical datasets.

- Increase the quality of the data available to other teams within the business for further analytical processes to be carried out.

📌 Senior Data Engineer (Pune)
🏢 Keka
📍 Pune