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:
Flexible vacation + health & travel insurance + relocation
Hybrid work model: flexible hours with the possibility to combine office and remote work.
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
Compensation at Accenture varies depending on a wide array of factors including but not limited to role, location, effort, responsibility, skillset, and level of experience. We are hiring at the following management levels, and any offer will align with the gross base pay range according to the level at which you are assessed:
Analyst: EUR 1400-2800
Senior Analyst: EUR 1700 - 3400
Team Lead: EUR 1900 - 4700
Associate manager: EUR 2400 - 6200
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.
Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.
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.