11 Oct
|
Continental
|
Bengaluru
11 Oct
Continental
Bengaluru
Company: Continental
Website: Visit Website
Business Type: Enterprise
Company Type: Product
Business Model: B2B
Funding Stage: Series C
Industry: Retail
Salary Range: ₹ 15-40 Lacs PA
Job Description
This is the permanent role with a valued client of VidPro.
Mandatory Skills : Enterprise data, Analytics warehouse, lakehouse modeling, ML integration, Data warehouse, Data Lakehouse.
Key Responsibilities
Certifications in Databricks or Microsoft preferred.
• Govern the enterprise-wide standards for data & analytics modeling and performance within the Databricks Lakehouse.
• Drive consistency and reuse of core data & analytics artifacts and ensure scalable integration across all business domains.
• Provide expert consulting, quality assurance, and enablement for data engineering and data science teams.
• Act as a design authority for data warehouse, semantic modeling, and advanced analytics integration.
• Acts as the senior engineering point of contact for the lakehouse layer across global teams.
• Coordinates with 25+ data engineering and data science professionals across domains and geographies.
• Collaborates closely with platform architects, data scientists, governance teams, and functional IT globally.
Main Tasks
• Define enterprise 3NF and warehouse modeling standards.
• Maintain and review enterprise-wide data & analytics models and shared artifacts.
• Align naming conventions and metadata handling with governance standards.
• Guide partitioning, indexing, and performance tuning.
• Enable, steer and optimize semantic integration with Power BI, live tabular exploration and other tools.
• Own common functions, e.g. FX conversion, BOM logic, time-slicing.
• Review and approve core components for quality and reusability.
• Provide support on high-performance or high-complexity challenges.
• Align lakehouse implementation with architectural decisions.
• Collaborate with data science and AI teams on model deployment.
• Ensure seamless integration of ML/AI
📌 Data Engineer (Bengaluru)
🏢 Continental
📍 Bengaluru