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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.
Job Responsibility:
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
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 (Master's Degree is a plus)
Nice to have:
Experience with Airflow, Kubernetes, Great expectations is a plus
Basic knowledge of PowerBI is a plus
What we offer:
Become part of a fast-growing international and diverse team