Senior Data Engineer

Location: Pune, India

Department: IT Development

Experience: 7+ Years

• 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.

• 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 efficient and cost-effective solutions are in place for all data movement throughout the business.

• 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.

• 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.

• 7+ years of Data engineering experience
• A bachelor's degree in data management, data engineering, data science, or a related field.
• Certified in AWS or any other Data related technologies.
• Previous experience in Data Engineering Role.
• Experience with AWS & SQL server data tools.
• Experience in developing scalable and efficient ETL processes to move data around the estate.
• Mentoring Experience of Data Team members.
• Experience in Lambdas, Event Bus, Python
• Strong attention to detail to ensure accuracy.
• Effective communication and interpersonal skills
• Strong verbal and numerical skills
• Integrity, confidentiality, and ethical conduct in handling sensitive information and adhering to professional standards and regulations.
• Evidence of complex data problem solving skills
• Experience interacting with employees, managers, and documenting policies and procedures.
• Strong knowledge of database design & performance tuning techniques
• Solid understanding of data movement, data security & meta data.
• Power Platform knowledge in a production environment
• Data Science & Machine Learning Methods

• Excellent communication and stakeholder management skills.
• Ability to mentor and coach teams, driving adoption of best practices.
• Strong problem-solving mindset with a focus on scalable solutions.
• Proactive, collaborative, and comfortable in fast-paced agile environments.

• Great work-life balance through hybrid work arrangement.
• Company funded skill enhancement and training.
• Exciting reward and recognition program.
• Opportunity to bond with colleagues through exciting employee engagement initiatives.
• Great on the job learning opportunity through involvement in new product/ideation teams.
• 60 minutes with the CEO each quarter to pick his brains on any topic of your choice.