About the job
LITIT is a joint venture between NTT DATA and Reiz Tech, focused on delivering IT solutions in the DACH region. The company brings together German precision, Japanese work ethics, and Lithuanian talent to provide IT services and support.
This remote Data Analytics Engineer position centers on building and improving the IoT Insurance Data Platform (IDP) using AWS. The role involves designing, implementing, and maintaining scalable data pipelines and shared platform services. The work supports analytics, data products, and machine learning applications for industrial IoT and insurance clients.
Key responsibilities
- Architect, deploy, and manage cloud-native data pipelines on AWS.
- Develop and maintain scalable ETL workflows, data lakes, and data mesh components.
- Create and optimize PySpark jobs for processing large-scale and time-series data.
- Manage schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation.
- Collaborate with data platform, analytics, and product teams.
Desired qualifications
- Extensive hands-on experience with AWS services, especially Lambda, Glue, and S3; familiarity with Athena, Lake Formation, Step Functions, and DynamoDB is a plus.
- Strong background in data engineering, including designing and executing ETL/ELT pipelines for large-scale or streaming data.
- Proficiency in Spark or PySpark for distributed data processing.
- Understanding of modern data formats such as Apache Iceberg and Parquet.
- Proven ability to deliver production-grade, enterprise-level data solutions.
- Experience with API integration, including AWS API Gateway and data exchange APIs.
- Familiarity with CI/CD pipelines and automated deployment processes.
- Experience working in cross-functional Scrum teams and an agile mindset.
- Willingness to travel domestically or internationally as project or client needs arise, sometimes on short notice.
Compensation and development
- Salary range: €4700 - €5700 gross per month.
- Opportunities for learning and continuous professional growth.
