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Big Data engineer

Riga Job No. r00160647 Full-time

Job Description

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 2625 - 4500 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

Qualifications

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.

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