Lead (Data Science Engineer)

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Infrastructural thinking in the design and architectural integration / optimization of the analytical platforms and related (Data Reservoir)
  • Determine upgrades and improvements to current data architectures
  • Together with the Business Analyst, the Data Scientist and the contact persons at specific business partners, responsible for building and prioritizing a long-term analytical roadmap
  • Thinking along and developing E2E automated AI platforms (and everything needed for this) to build insights and bring them to the customer in an insightful and efficient way
  • Support the Data Scientists in translating their needs into specific research questions and hypotheses that can be addressed in a data science project (trajectory)
  • Rigorous in the control and stability and reliability of the produced code that must be output correctly
  • Responsible for the delivery and follow-up of the analytical solutions within the lifecycle management
  • Coaching/Training team members on data engineering processes
  • Should have 10+ years of experience in Database/DWH background and at least 4+ years of experience in Data engineering with Python (pandas, NumPy ..etc.)
  • Should be proficient in understanding databases and expertise in understanding complex SQL’s and able to write SQL queries in efficient way
  • Knowledge of the advanced technologies related to big data in order to be able to use the most adequate technology in function of the need
  • Should have experience in version control with Git and has worked on most of the features of it (CI/CD, Git runners, Branch strategy etc.)
  • Software engineering: general programming knowledge (including code testing approaches; DRY coding; concepts of software development service oriented; OOPS)
  • Should define & follow the best practices in Data engineering
  • Assemble large, complex data sets that meet functional / non-functional business requirements
Our Proposition:
  • A challenging role in Data engineering to show case your capability
  • Help realize Colruyt Group vision in becoming Europe number one Data-Driven Organization
  • and enrich your personal experience in technology space and personal development
  • Autonomy, Personal Leadership work life balance are our core group ethos
  • Colruyt Group believes “Organization grows to the extent people grows”. We invest to enhance
  • craftsmanship of co-workers. This will help you to work on latest and cutting-edge technologies

Experience: 10 years

Qualification: BE/BTech

Location: Hyderabad

No. of Vacancy: 1