Data Analytics Engineer

🕒 May 20

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LITIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤝 B2B

🏢 Enterprise

B2B • Enterprise

LITIT is a Lithuanian-based IT joint venture founded by NTT DATA and Reiz Tech that provides strategic IT consultancy and solutions for enterprise clients, with an initial focus on the DACH region and Lithuania. The company emphasizes innovation, talent development, and rapid team expansion (planning to hire dozens to hundreds of specialists) while serving diverse industries with IT services and solutions.

📋 Description

• Design, implement, and operate scalable, cloud-native data pipelines on AWS • Build and maintain ETL/ELT workflows, data lakes, and data mesh components • Develop 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 via 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, Lambda, S3, Athena, Lake Formation, Step Functions, DynamoDB • Proven experience in data engineering, including building and operating ETL/ELT pipelines and working with data lakes and/or data mesh architectures • Solid experience with Spark / PySpark for distributed data processing and performance optimization • Experience with modern data formats such as Apache Iceberg 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 mindset 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. • Nice to have: Experience with Infrastructure as Code (e.g., Terraform) • Basic understanding of machine learning concepts, ML lifecycle, and MLOps practices

🏖️ Benefits

• Learning opportunities with compensated certificates, learning lunches, and language lessons. • Chance to switch 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.