Data Engineer

InfoVision Inc.; Pune District; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

InfoVision Inc. is seeking an Azure Data Engineer to assess complex data sources from SAP and non-SAP systems and rapidly convert them into analytics-ready data sets for business insights.

You will design and implement data pipelines on the Azure Data Platform, Databricks, and related Microsoft tools, collaborating with cross-functional teams. Requirements include 7+ years in the Azure domain with 5+ years delivering analytics on Azure, automotive domain experience, and knowledge of SAP IS-Auto

Qualifications

• 7+ years of experience in the Azure Domain with minimum 5+ 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.
• Certification on Azure platform toolsets will be considered as added advantage

Responsibilities

• Detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.
• Design, document, develop, implement, and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
• Participate in early state design and feature definition activities.
• Implement robust data pipelines using Microsoft toolset and Databricks Stack.
• Create reusable and scalable data pipelines.
• Collaborate with team members across multiple engineering teams to support integration of proven prototypes into core intelligence products.

Skills

Relational databases

Big Data pipelines

Unstructured data analytics

Azure DevOps

Education

Bachelor's degree in Computers or allied field

Azure platform certification (advantage)

Tools

Databricks

Azure Data Platform

SAP IS-Auto

SAP BW/BO

Tableau

PowerBI

Azure DevOps

Job description

As an Azure Data Engineer in our team, you will be responsible for assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. You also will develop and support the implementation and integration of these new data sources into our Azure Data platform.

Responsibilities:

• 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.

Skills:

• 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
• Azure Devops experience mandatory to deploy the Data Objects.

Qualifications and Experience:

• 7+ years of experience in the Azure Domain with minimum 5+ 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