The ideal candidate will bring deep hands-on expertise in Python Databricks SQL and Power BI along with strong functional understanding of supply chain and manufacturing data models. This role requires someone who can operate independently solve complex data engineering problems and collaborate with distributed global teams across business and technical domains.
This is not an instruction-taking role it is for someone who can design build optimize and scale data pipelines and analytical solutions end to end.
Key Responsibilities:
Expert-level technical skills in Python Databricks/Spark SQL and Power BIable to design and build complex pipelines end-to-end.
Strong supply chain & manufacturing domain knowledge especially around inventory logistics and ERP data structures.
Ability to work with multi ERP environments (37 systems mainly SAP/Oracle) and integrate transactional enriched data.
Experience building enterprise-grade dashboards and analytics solutions (e.g. Inventory at Risk forecasting).
Capable of independently managing data engineering workflows from ingestion through modeling to reporting.
Comfortable consolidating and automating data from Excel Data Lakes enrichment systems and external sources.
Strong communication skills and confidence engaging senior leaders (CFO CPO BU heads) with clear presentations.
Ability to collaborate with global teams across time zones (US Mexico Poland); requires 23 hours US morning overlap.
Proactive self-driven problem-solvernot an instruction takerable to operate with minimal supervision.
Qualifications :
Graduate or above
Remote Work :
No
Employment Type :
Full-time
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable busin ... View more