Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
- Develop the architecture for the data pipelines and implement it using Python
- Actively involved in onboarding data sources through data pipelines - ingestion transformations data storing and orchestration of the pipelines
- Experience with data migration projects between systems hosted in different hosting environments (on-premises AWS Azure etc.)
- Advise on technical aspects of solution development and ensure correct application of strategies policies standards and practices including security
- Provide expert guidance on database and data warehouse architectures software and facilities
- Ensures design supports performance and availability and data warehouse design meets business intelligence and analytics needs
- Adopt suitable methods and techniques monitor adherence to standards including security and contribute to organizational policies and guidelines.
Qualifications :
- 6 years of experience with large-scale data platforms and applications
- Proficiency in Python (pandas PySpark)
- Experience leading teams and stakeholder management
- Strong data modeling skills (normalized and multidimensional)
- Experience with various Azure services for data processing and storage data integration and analytics with Azure Synapse Workspaces
- Experience implementing ELT processes and Data pipelines
- Experience with major RDBMS (SQL Server preferred)
- Background and experience with data tools and technologies like Databricks Snowflake BigQuery Redshift and other Data warehouse tools
- Experience with Real-time and Batch processing; serverless processing
- The ability to take the initiative drive the project and innovate
- Advanced English speaking and writing abilities are required.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;
- Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
- Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Full-time