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    Job · 20487306

    HYDERABAD · FULLTIME

    DataBricks - Sr Programmer Analyst

    Agriitex Systems And Services

    Agriitex Systems And Services

    Hyderabad · onsite · Posted 13d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeHyderabad

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    Section · 01

    About this role

    DataBricks - Senior Programmer Analyst (Exp: 3+ Yrs to 5 Yrs)

    We are seeking a talented and motivated DataBricks expert to join our team as a Senior Programmer Analyst.

    Required Skills Qualifications:

    • 3 to 5 years of hands-on experience in data engineering, software development, or cloud data platform delivery.
    • Expert-level Apache Spark (PySpark) skills.
    • Strong proficiency in SQL.
    • Solid programming skills in Python for automation and data processing.
    • Hands-on experience with a major cloud platform such as Microsoft Azure (Azure Data Factory, ADLS) or AWS.
    • Experience with workflow orchestration tools like Databricks Workflows, Delta Live Tables (DLT), or Apache Airflow.
    • Experience with Infrastructure-as-Code (Terraform).
    • Experience with containerization tools (Docker / Kubernetes).
    • Build and support Databricks data pipelines for enterprise analytics.
    • Understanding of the SDLC and Agile methodologies.
    • Communication with the customer and producing the daily status report.
    • Bachelors or Masters degree in Computer Science, Engineering, or a related quantitative field.
    • Databricks Certified Data Engineer Associate or Professional certification.
    • Should have good oral and written communication.
    • Should be a good team player and able to work with business stakeholders.
    • Should be proactive and adaptive.

    Key Responsibilities:

    • Design, build, and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark to support enterprise analytics.
    • Transform, validate, and optimize large datasets using PySpark and advanced SQL.
    • Implement and maintain Delta Lake and the lakehouse/medallion architecture (bronze, silver, gold layers).
    • Work with data analysts, data scientists, and business stakeholders to define data requirements and deliver trusted datasets.
    • Implement DevOps practices, version control (Git), and deployment automation for data pipelines.
    • Apply access controls, data quality frameworks, and data governance using tools like Unity Catalog.


    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

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    Section · 02

    Skills

    AutomationDockerAgileApache SparkData EngineerApacheadvanced sqlcloud platformamazon web servicesapache airflowAnalyticsADLSCloud DataData EngineeringcloudArchitectureAzure Data FactoryMicrosoft Azure

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