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    Job · 21626030

    BENGALURU · FULLTIME

    Data Engineer ( Azure & Databricks )

    Lufthansa Technik Services India

    Lufthansa Technik Services India

    Bengaluru · hybrid · Posted 1d ago

    Sourced fromNaukri
    Undisclosed3–6 yrsfulltimeBengaluru

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

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    Section · 01

    About this role

    Roles & responsibilities :


    Data Engineering & Transformation


    • Design, develop, and maintain scalable data transformation pipelines using Python (with tools like PySpark, ADF) and SQL in Azure Databricks.
    • Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.
    • Apply strong data engineering principles to ensure data reliability, quality, performance, and reusability.
    • Work with structured and semi-structured data at scale.

    Databricks, Azure & Cloud ETL


    • Build and manage Databricks notebooks, jobs, Delta Lake tables, and orchestrated workflows.
    • Hands-on experience with Cloud-based ETL platforms.
    • (Preferred: Microsoft Azure Databricks, Synapse, Azure Functions; otherwise AWS or Google Cloud.
    • Optimize data pipelines for performance, scalability, and cost efficiency.

    Python Applications, APIs & Automation


    • Design, develop, and maintain Python applications, scripts, and APIs for data processing and automation.
    • Write production-grade Python code with strong focus on readability, maintainability, and testing.
    • Leverage Python for orchestration, validation, and integration with downstream systems.

    Collaboration with Data Science & Engineering Teams


    • Collaborate closely with Data Scientists and Data Analysts to understand data, analytical models, and consumption requirements.
    • Enable and support advanced analytics and data science workflows by preparing high-quality feature datasets.
    • Translate analytical needs into scalable data engineering solutions.

    CI/CD, DevOps & Platform Engineering


    • Build and maintain automated CI/CD pipelines for data and Databricks workloads.
    • Hands-on experience with DevOps tools and practices, including Git-based version control.
    • Exposure to containerization and orchestration platforms such as Kubernetes / OpenShift.
    • Ensure smooth promotion of code and pipelines across environments (Dev/Test/Prod).

    Data Modeling & Querying


    • Design and implement robust data models optimized for analytics and reporting.
    • Strong hands-on knowledge of SQL and exposure to KQL or other query languages.
    • Apply best practices in data structures, indexing, and performance tuning UI / UX & Data Applications (Additional Advantage).
    • Open to contributing to data-driven UI/UX components, dashboards, or lightweight data applications.
    • Work with analytics and business teams to improve data usability and customer experience.

    Desired candidate profile


    • Strong hands-on expertise in Python (with frameworks like PySpark).
    • Solid foundation in Data Engineering principles and large-scale data processing.
    • Experience with Azure Databricks and cloud-based ETL platforms.
    • Strong knowledge of SQL and data querying techniques.
    • Experience with CI/CD pipelines and DevOps practices.
    • Experience in pipeline monitoring and alerting.
    • Ability to design efficient, scalable solutions to complex data problems.

    Nice to have:-


    • Experience with Azure Synapse and Azure Functions.
    • Exposure to AWS or Google Cloud data platforms.
    • Hands-on experience with OpenShift.
    • Knowledge of data science concepts and workflows.
    • Familiarity with analytics platforms, dashboards, and UI/UX considerations.


    Sourced from naukri

    Section · 02

    Skills

    Azure SynapsePysparkData EngineeringPythonSQLAzure DatabricksMicrosoft Azure

    Section · Company

    About Lufthansa Technik Services India

    Lufthansa Technik Services India

    Lufthansa Technik Services India

    Aviation

    66

    employees

    2005

    21 years old

    Hamburg

    Germany

    ₹9.1L PA avg

    Avg at Lufthansa Technik Services India

    About

    Founded in 2005, Lufthansa Technik Services India (LTSI) is Lufthansa Technik’s fully owned, strong, and growing subsidiary in India and South Asia. Based in Bangalore, more than 300 highly skilled professionals support airline customers across the globe with efficient and reliable component services for all major commercial aircraft types.

    LTSI provides airlines access to 24/7 support on a full-service spectrum of integrated and comprehensive services, including access to Lufthansa Technik’s global spare part pool, best-in-class repair and overhaul services within an in-house and contracted MRO network, in-depth engineering support, and tailored logistic solutions to enable seamless aviation operations.

    LTSI’s dedicated customer support teams take care of needs of airline partners, from comprehensive long-term support packages to immediate ad-hoc needs for a loan, exchange, or repair.

    The eFreight Pre-Check center at LTSI cross checks and validates all documentation requirements for air freight so that the shipments are good to go on the aircraft.

    Since 2019, LTSI has expanded its competencies into Digital Services, driving the digital transformation and business model development of Lufthansa Technik with state-of-the-art Data Analytics Services.

    Industries

    Aviation

    Employee ratings

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    3.3/ 5

    Culture

    2.7

    Career growth

    1.7

    Work-life

    3.6

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