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  • Senior Azure Data Engineer
    New
    Data

    Senior Azure Data Engineer

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent, B2B
    Operating mode
    Remote
    Lingaro

    Lingaro

    Lingaro - an award-winning tech partner to global leaders. Our clients include Fortune 500 companies whom we provide with cutting edge solutions. We attract the best talents from the IT industry as well as the most promising rising stars.

    Company profile

    Tech stack

      T-SQL

      master

      PySpark

      master

      Azure

      master

      Azure Data Factory

      master

      Databricks

      master

    Job description

    Online interview

    We are seeking an experienced Cloud Data Engineer proficient with SQL, Azure cloud stack and Databricks. The ideal candidate will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows. 

     

    Tasks:

    • Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data. 
    • Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.  
    • Integrating and transforming data to ensure its compatibility with the target data model or format. 
    • Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems). 
    • Familiarity with partitioning, compression, optimization of data storage and retrieval.  
    • Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. 
    • Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. 
    • Independence and responsibility in delivering solutions. 
    • Ability to work under agile methodologies.

     

    Requirements: 

    • Proven experience in Azure cloud-based infrastructure, Databricks implementation.
    • 6+ years of experience in Data Engineering.
    • Hands on experience with of T-SQL (min. 5 years). 
    • Proven experience in Python, PySpark. 
    • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders. 
    • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps). 
    • English at least at B2 level, ideally C1. 
    • Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.

     

    We offer:

    • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
    • “Office as an option” model. You can choose to work remotely or in the office, depending on your location. 
    • Flexibility regarding working hours and your preferred form of contract. 
    • Comprehensive online onboarding program with a “Buddy” from day 1.  
    • Cooperation with top-tier engineers and experts. 
    • Unlimited access to the Udemy learning platform from day 1.
    • Certificate training programs. Lingarians earn 500+ technology certificates yearly. 
    • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
    • Internal Gallup Certified Strengths Coach to support your growth.
    • Grow as we grow as a company. 76% of our managers are internal promotions.  
    • A diverse, inclusive, and values-driven community.  
    • Autonomy to choose the way you work. We trust your ideas. 
    • Create our community together. Refer your friends to receive bonuses. 
    • Activities to support your well-being and health.
    • Plenty of opportunities to donate to charities and support the environment. 
    • Modern office equipment. Purchased for you or available to borrow, depending on your location.

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