Lead (Data Science Engineer) Colruyt It Consultancy India

10.0 - 14.0 years

12 - 16 Lacs

Hyderabad

Work from Office

Responsibilities: 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 Profile: 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 SQLs 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

Posted 3 weeks ago

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