Data Engineer with AWS

Role Overview

Join our global team of experts in digital business transformation across various industries. Work on projects that generate value from software, data, and AI, delivering strategies and solutions that challenge conventional industry practices and drive technological progress.

What You Will Do

Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks. Design, implement, and manage scalable data pipelines using cloud-native technologies to efficiently process and analyze large volumes of data.

Why It Might Be a Fit

You will work closely with Data Scientists and Analysts, identifying potential data sources and evaluating their utility to understand data requirements and develop appropriate solutions. You will share your expertise and experience with other team members, contribute to knowledge sharing and development of the team.

Requirements

• 5+ years of hands-on experience in Data Engineering, working with large-scale data pipelines and cloud platforms
• Strong programming skills in Python and SQL, with experience using distributed data processing frameworks such as PySpark or Spark SQL
• Proficient in building and deploying cloud-native data pipelines in AWS
• Experience with AWS data and compute services, such as: S3, Glue, IAM, Redshift, Lambda, Step Functions, VPC, and DynamoDB
• Knowledge of CI/CD practices and Infrastructure-as-Code using Terraform, GitHub Actions, or similar tools
• Strong background in data integration, ETL/ELT development, data modeling, and data architecture
• Fluency in English, both written and spoken

Benefits

• Professional & Personal Growth
• Flexible Work-Life Balance
• Embrace Diversity & Sustainability
• Comprehensive Benefits
• Public transport tickets
• Job bikes
• Health offers
• Supplementary insurances
• Pension plan
• Various discounts