Digital Continuity & Manufacturing Engineer

4 - 7 years

7 - 11 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About The Role
We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have hands-on experience with big data technologies, cloud platforms, and programming languages, and will play a key role in enabling data-driven decision-making across the organization.Key Responsibilities:
  • Design, develop, and optimize data pipelines for ETL processes using Apache Hadoop, Spark, and other big data tools.
  • Implement and manage data workflows in cloud environments, primarily Microsoft Azure.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust solutions.
  • Ensure data quality, integrity, and security across all stages of data processing.
  • Develop and maintain scalable data architectures for structured and unstructured data.
  • Write efficient SQL queries for data extraction, transformation, and analysis.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Document data engineering processes and best practices.

  • Primary
    Skills:
  • Big Data Technologies: Apache Hadoop, Spark
  • Cloud Platforms: Microsoft Azure (Data Factory, Synapse, Blob Storage, etc.)
  • Programming Languages: Python, Java
  • ETL Tools & Techniques: Data ingestion, transformation, and loading
  • SQL & Data Querying: Advanced SQL for data manipulation and analysis
  • Data Processing & Management: Batch and real-time data processing
  • Data Analysis & Business Intelligence: Integration with BI tools and dashboards

  • Secondary
    Skills:
  • Cloud Computing Concepts: Public cloud, hybrid cloud, cloud security
  • Multi-Paradigm Programming: Functional and object-oriented programming
  • Software Development Practices: Version control, CI/CD, testing
  • Data Science Fundamentals: Understanding of statistical methods and machine learning workflows
  • Information Technology: General IT knowledge including networking, storage, and system architecture
  • Cloud Providers: Familiarity with AWS or Google Cloud Platform is a plus
  • Communication & Collaboration: Ability to work cross-functionally and explain technical concepts to non-technical stakeholders
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    Capgemini

    IT Services and IT Consulting

    Paris France

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