Data Engineer - Greater Hyderabad Area - Hive Financial Systems

    Hive Financial Systems
    Hive Financial Systems Greater Hyderabad Area

    3 days ago

    ₹900,000 - ₹2,500,000 (INR) per year *
    Description

    Job Title: Data Engineer

    Experience Required: 3–6+ years

    Overview

    We are seeking a skilled
    Data Engineer
    to design, build, and maintain robust cloud-based data pipelines and architectures. The ideal candidate will have hands-on experience working with
    Microsoft Fabric
    and the broader
    Azure data ecosystem
    . This role is focused on delivering reliable, high-quality data to power analytics, reporting, and operational use cases. MUST HAVE EXP WITH MICROSOFT.

    Key Responsibilities

    Data Pipeline Development

    • Design, develop, and maintain
      scalable and efficient pipelines
      in Microsoft Fabric and Azure.
    • Implement ETL/ELT processes to integrate data from diverse sources.

    Architecture & Integration

    • Collaborate with data architects and analysts to deliver solutions aligned with business objectives.
    • Leverage Microsoft Fabric and Azure services to build integrated, cloud-native data platforms.

    Data Modeling & Warehousing

    • Develop data models to support reporting, analytics, and machine learning use cases.
    • Optimize data lakehouse/warehouse solutions for performance and cost-efficiency.

    Performance & Quality

    • Monitor, troubleshoot, and optimize pipelines for
      reliability, performance, and data quality
      .
    • Apply best practices in
      data governance, security, and compliance
      .

    Continuous Improvement

    • Evaluate new features and tools within
      Azure / Microsoft Fabric
      to improve efficiency.
    • Contribute to team knowledge-sharing and process improvements.

    Required Qualifications

    Professional Experience

    • 3–6+ years of experience in data engineering or related field.
    • Hands-on experience with
      Microsoft Fabric
      or Azure data platforms.

    Technical Skills

    • Strong SQL and data modeling skills.
    • Experience with
      ETL/ELT pipelines
      and orchestration (Azure Data Factory, Fabric pipelines, or similar).
    • Programming proficiency in
      Python and/or PySpark
      .
    • Familiarity with
      Azure Data Lake, Synapse, SQL DB, and Key Vault
      .
    • Exposure to
      NoSQL databases
      (e.g., MongoDB Atlas) is a plus.

    Soft Skills

    • Strong problem-solving and analytical mindset.
    • Effective communicator who can collaborate across teams.
    • Comfortable working in a
      fast-paced, cloud-first environment
      .

    Preferred Qualifications

    • Bachelor's degree in Computer Science, Engineering, or related field.
    • Relevant
      Microsoft Azure certifications
      (e.g., Azure Data Engineer Associate).
    • Familiarity with DevOps practices, CI/CD, or containerization is a plus.
    * This salary range is an estimation made by beBee
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