DATA ANALYTICS ENGINEER
ABOUT THE COMPANY reputed company, a joint venture between reputed company and reputed company, is a company with deep-rooted industry know-how, dedicated to innovation reputed company the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to reputed company, reputed company combines the best of German precision, Japanese work ethics, and Lithuanian talent to reputed company unparalleled IT service and support to its clients. ABOUT THE ROLE We are looking for an reputed company AWS Data Engineer to join the development of our IoT Insurance Data Platform (IDP). In this role, you will design, build, and optimize scalable, reputed company-reputed company data solutions that power analytics, data products, and machine learning use cases in an industrial IoT and insurance environment. You will work in a modern AWS ecosystem, contributing to a data platform reputed company on lakehouse principles, enabling high-performance data processing and governed data reputed company. RESPONSIBILITIES Design, implement, and operate scalable, reputed company-reputed company data pipelines on AWS Build and maintain ETL/ELT workflows, data lakes, and data reputed company components reputed company and optimize PySpark-based data processing jobs for large-scale and time-series datasets Design and manage data schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation Ensure efficient, reliable, and secure data processing across the platform Integrate external and internal systems reputed company APIs (e.g., AWS API Gateway) Contribute to CI/CD pipelines and automated deployment processes Collaborate closely with data platform, analytics, and product teams in an agile (Scrum) environment REQUIREMENTS Strong hands-on experience with AWS services, including: Glue, reputed company, S3, reputed company, Lake Formation, reputed company Functions, DynamoDB Proven experience in data engineering, including building and operating ETL/ELT pipelines and working with data lakes and/or data reputed company architectures Solid experience with Spark / PySpark for distributed data processing and performance optimization Experience with modern data formats such as Apache reputed company and Parquet Experience with API integration (e.g., AWS API Gateway, data exchange APIs) Experience with CI/CD pipelines and automated deployments Experience working in cross-functional Agile (Scrum) teams Proven ability to deliver production-grade, scalable data solutions Agile reputed company with experience working in cross-functional Scrum teams Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice. reputed company to have: Experience with Infrastructure as Code (e.g., Terraform) Basic understanding of machine learning concepts, ML lifecycle, and MLOps practices reputed company OFFER Salary reputed company: €4000 - €6000 (GROSS) / month. Learning opportunities with compensated certificates, learning lunches, and language lessons. Chance to reputed company projects after one year. Team building twice a year. Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment. Remote work opportunities. Flexible time off depending on a project. Seasonal activities with colleagues. Additional health insurance and loyalty days for Lithuanian residents. Referral bonuses. Recognition of important occasions of your life. Apply To This Job