Due to our rapid expansion we are looking for a:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Responsible for building data pipelines and analytical engineering Ops with standard end-to-end design & ETL patterns, implementing data pipelines, data modeling, data consumption, and cloud usage optimization.
- Responsible to define the enterprise Data lakehouse on providers such as AWS\Azure working closely with the data team and the enterprise CDO on the governance, p, consumers, data marts etc.
- Experience with high-volume production environments including recovery and resilience infrastructures.
- Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)
- At least 8 years design and build complex data solutions.
- At least 8 hands on experience for cloud database (AWS / Azure )
- At least 8 years hands on experience in data replication solution for forward sync , backward sync and bi-directional sync between mainframe and relational database.
- Rich Experience of designing and implementation of database models (LDM & PDM), data flow diagrams, database schema, DB scripts.
- Expertise in database design and architecture, data modelling , data mapping & conversion and data load, and creating packages for DeltaLake solutions
- Work with technical and end users to understand business requirements and identify database/data solutions.
- Develop strategies for data acquisitions, recovery, & migration.
- In-depth expertise with data security, storage solutions, database virtualization and replication as well as other complex database/data technical tools and solutions.
- Define enterprise-level standards (coding, architectural, migration), platform and tool selection.
- Good Experience of analyzing functional & non-functional business requirements & converting into technical data requirements.
- Good experience of delivering data management goals & design principal in support of business goals of the organization.
- Excellent remuneration and benefits package (including equity package)
- Day to day usage of cutting-edge technologies
- High-level medical insurance
- Extended annual leave
- Professional development
- Great supporting team and environment
- Being part of a global function and global knowledge-sharing
- Hybrid or remote work depending on agreement.
