- You are required to do detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.
- You are required to design, document, develop, implement, and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
- You are required to participate in early state design and feature definition activities.
- Responsible for implementing robust data pipeline using Microsoft toolset and Databricks Stack
- Responsible for creating reusable and scalable data pipelines
- You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
- Advanced working knowledge and experience with relational and non-relational databases
- Experience building and optimizing Big Data pipelines, architectures, and data sets
- Strong analytic skills related to working with unstructured datasets
- Expertise in Azure Datafactory, Databricks, Eventhub, Python, PySpark ,Azure Synapse and SQL.
- Azure Devops experience mandatory to deploy the Data Objects.
- 5+ years of experience in the Azure Domain with minimum 4 years of relevant experience.
- Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
- Automotive domain experience is must.
- Knowledge/Experience with Azure cloud stack.
- Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, PowerBI will be considered as added advantage.
- Bachelor’s degree in Computers or allied field of study.
- Certification on Azure platform toolsets will be considered as added advantage
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