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Accenture Baltics

Data Engineer

Accenture Baltics
Lithuania · Full-time · Mid-Senior
We are looking for a talented and motivated Data Engineer to join our team at Accenture Baltics. As a Data Engineer, you will have the opportunity to work within different industries applying your knowledge while designing, building, and maintaining cutting-edge data solutions. You will be able to work in a highly motivated environment with a focus on continuous learning, improvement and change enablement.

Benefits:


  • Competitive salary 3300 - 5200 EUR gross

  • Flexible vacation + health & travel insurance + relocation

  • Work from home, flexible working hours

  • Work with Fortune 500 companies from different industries all over the world

  • Skills development and training opportunities, company-paid certifications

  • Opportunities to advance career

  • An open-minded and inclusive company culture


    • Key responsibilities:


  • Design, develop, and maintain robust and scalable data pipelines to ingest, process, and transform large volumes of data from various sources.

  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions to address business needs.

  • Optimize data workflows and processes for performance, efficiency, and reliability.

  • Ensure data quality and integrity through data validation, testing, and monitoring.

  • Identify opportunities for automation and optimization to streamline data processes.


    • Required Qualifications:


  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • Proven experience in designing, building, and maintaining data pipelines using tools such as Apache Spark, Apache Kafka, or similar technologies.

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Proficiency in programming languages such as Python, Scala, or Java.

  • Strong SQL skills and experience working with relational and non-relational databases.


    • Desired Qualifications:


  • Experience with data modelling and database design.

  • Experience with DataOps principles and practices, including version control, continuous integration/continuous deployment (CI/CD), and automated testing.

  • Experience with big data technologies such as Hadoop, Hive, HBase etc.

  • Experience with containerization and orchestration tools such as Docker and Kubernetes.

  • Experience with data application tuning and performance improvement techniques.


    • Key Skills

    Ranked by relevance

    c ai ui pan ha apache scala cloud continuous integration google cloud platform continuous deployment containerization kubernetes big data python docker hadoop kafka unity hbase spark java sql aws esp lan oop kf
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    Posted
    Dec 11, 2024
    Type
    Full-time
    Level
    Mid-Senior
    Location
    Vilnius
    Company
    Accenture Baltics

    Industries

    IT Services IT Consulting

    Categories

    Information Technology Engineering

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