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.

Apply - Data Engineer (accenture.com)