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    Job · 17098383

    Parkar Digital logo

    Sr Data Engineer

    Parkar Digital · Pune · onsite · Posted 40d ago

    Undisclosed6–11 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Role Overview:
    We are seeking a Data/ AI Engineer to join our global Data Insights team. This role is critical to advancing our value creation across our global company based on data and AI. The ideal candidate combines strong engineering skills with curiosity for understanding business requirements and passion for leveraging the latest advances in Microsoft Azure and Databricks technology. This position offers the opportunity to work at the intersection of business and data engineering, and cutting-edge AI.
    Roles Responsibility:
    • Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) - linking strongly to IOT data and other proprietary data sources
    • Collaborate with Architecture Team and the Global Team responsible for scaling and providing data and artefacts based on our Common Data Platform
    • Develop reporting and visualization solutions using Power BI (or similar tools) to support adoption and transparency and ensure value capture
    • Collaborate with business stakeholders to understand requirements and translate them into automated, value-creating solutions
    • Work with Data Architects to ensure automation aligns with standards, governance, and platform strategy
    • Apply strong data modelling / AI skills to ensure to create data based solutions - fast time to market
    • Continuously evaluate and integrate new technologies and best practices in data, automation, and AI to drive platform evolution
    • Explore and leverage the latest capabilities of Azure AI Foundry and Databricks Agent Bricks to enable intelligent, agentic orchestration
    Required Skills:
    • Bachelor s in computer science, Data Engineering, or related field
    • 6+ years of experience in data engineering, automation, or applied analytics
    • Hands-on expertise in Azure Databricks, Data Factory, SQL, Python, and Power BI
    • Strong understanding of data pipeline automation, CI/CD for data, and orchestration frameworks
    • Proven capability in data and AI modelling and building reusable, scalable data structures
    • Strong track record in building data-based products (best in the B2B industry) and creating scaled business value
    • Interest in linking business requirements to technical solutions and measuring tangible outcomes
    • Familiarity with Azure Foundry and emerging tools such as Databricks Agent Bricks is a plus
    • Curiosity for agentic AI capabilities and how they can enhance automation in enterprise environments
    • Strong problem-solving and collaboration skills in global, cross-functional teams. Very strong team player - being ready to work in a global high performing team
    • Fluent in English; German, Spanish or Portuguese a plus


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    AutomationData EngineerIOTorchestrationAzure AiBusiness Requirementsai engineerB2BAnalyticsData StructuresFoundryDatabricksData EngineeringPower BiArchitectureAzure DatabricksAi SolutionsMicrosoft AzureArtificial Intelligence

    About Parkar Digital

    Parkar Digital logo

    Parkar Digital

    IT Services & Consulting

    201-500

    employees

    2016

    10 years old

    Pune, Maharashtra

    India

    ₹13L PA avg

    Avg at Parkar Digital

    About

    Parkar Digital drives software innovation, utilizing cloud and data technologies to enhance customer experiences and reduce operational costs for diverse corporations.

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    3.0/ 5

    Culture

    3.4

    Career growth

    3.1

    Work-life

    3.3

    Employees rate it well for

    Compensation & Benefits33Company Culture31

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    Sr Data Engineer · waiting for your command