Responsibilities
- Lead, influence & implement the technical roadmap of our clients, in light of overall technology and architecture roadmaps.
- Be responsible for the Architecture, making sure that technical and non-technical components work together in the product to deliver the customer needs.
- Lead and Develop the digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud, ideally with some Data Insights experience.
- Steer the technical excellence of the application and consistency with relevant digital frameworks, best practices, and standards.
- Coach and enable other product team members to deliver best-in-class products.
- Deliver data platforms, data insights and with the collaboration of the data science team – data products, such as recommendation systems, data lakes/hubs, data insights and dashboards.
- Lead project activities and will be responsible for the evaluation of business needs and objectives in collaboration with the project team and other stakeholders.
Requirements
- 5 – 8 years of experience in a similar role with experience in developing and deploying ETL solutions on Azure, GCP or AWS.
- Solid knowledge of data warehousing principles, concepts, and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
- Good understanding of common platforms and practices regarding digital development; Cloud-based setups, Advanced Analytics and computing environments, and GitHub (or similar) and CI/CD workflows.
- Experience in setting up automated testing frameworks including unit tests, integration tests.
- Understanding of modern cloud-based architecture (Lambda & Kappa architectures).
- Advanced SQL, data transformation, and data profiling skills.
- Experience in building production ETL/ELT pipelines at scale.
- Data governance experience.
- 3 – 5 years of hands-on experience with Azure: Data Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming.
- Programming languages: Python (PySpark), scripting languages like Bash.
- Customer-centric, passionate about delivering great digital products and services.
- Demonstrating true engineering craftsmanship mindset.
- Passionate about continuous improvement and working collaboratively.
- Strong problem-solving skills coupled with the ability to convey designs and ideas to a wider audience.
- People Management experience (at least 2 members team).
- Experience in service consulting and stakeholder management.
- Comfortable with ambiguity, highly autonomous.
- A Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research. Statistics, Business or other related technical disciplines
Nice to Have
- Experience with Airflow, Kubernetes, Great expectations is a plus.
- Basic knowledge of PowerBI is a plus.
- Master's Degree is a plus.
Benefits
- Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
- Become the go-to person for end-to-end data handling, management, and analytics processes.
- Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.
- Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
- Become part of a fast-growing international and diverse team.
