Data Analytics Engineer

This is a fully remote position, open to applicants in Lithuania.

📋 Description

• Design, implement, and manage scalable, cloud-native data pipelines on AWS.

• Build and maintain ETL/ELT workflows, data lakes, and components of data mesh.

• Develop and enhance PySpark-based data processing jobs for large-scale and time-series datasets.

• Design and oversee data schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation.

• Ensure efficient, reliable, and secure data processing across the platform.

• Integrate both external and internal systems through 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, and DynamoDB.

• Proven track record in data engineering, specifically in building and operating ETL/ELT pipelines and working with data lakes and/or data mesh architectures.

• Solid experience using Spark / PySpark for distributed data processing and performance tuning.

• Familiarity with modern data formats such as Apache Iceberg and Parquet.

• Experience with API integration (e.g., AWS API Gateway, data exchange APIs).

• Background in CI/CD pipelines and automated deployments.

• Experience working within cross-functional Agile (Scrum) teams.

• Demonstrated ability to deliver production-grade, scalable data solutions.

• Agile mindset with experience in cross-functional Scrum teams.

• Willingness to travel as project or client needs require, which may include occasional domestic or international travel 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 certifications, learning lunches, and language lessons.

• Opportunity to switch projects after one year.

• Team-building events twice a year.

• Office located in Vilnius, Lithuania, offering themed lunches and a pet-friendly environment.

• Remote work options available.

• Flexible time off based on project needs.

• Seasonal activities with colleagues.

• Additional health insurance and loyalty days for Lithuanian residents.

• Referral bonuses.

• Recognition of significant life events.