- Set up and optimize best practices for batch and streaming data pipelines.
- Implement data quality, data monitoring, and data lineage tooling and reference architectures.
- Collaborate closely with Data Architects to define schema, governance standards, and data modeling.
- Develop and maintain ETL/ELT workflows, ensuring scalability and performance.
- Work cross‑functionally with product, engineering, and analytics teams to support data requirements.
- Drive capability‑based design principles to build reusable and modular components.
- Troubleshoot and optimize performance issues across data systems.
- Strong experience with Postgres Aurora
- Expertise in Apache Iceberg
- Hands-on with AWS Glue Jobs
- Proficient in Apache Spark
- Strong programming skills in Python
- Experience working with Trino
- Solid understanding of capability‑based design and data architecture fundamentals
- Experience with Great Expectations for data quality
- Exposure to DBT (Data Build Tool)
- Awareness of Databricks
- Optional: Knowledge of Java
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 7+ years of relevant experience in data engineering
- Proven experience building scalable data pipelines and distributed systems
- Strong problem-solving skills and understanding of modern data architectures
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Data Engineer - European Union - Discover International
Description
contract length: 6 months
workload: 20-40 hours per week
Work model: 100% remote in eu/ uk
role Overview
We are seeking a highly skilled Senior Data Engineer to design, build, and optimize robust data pipelines and platforms. The ideal candidate will have strong expertise in modern data engineering tools and frameworks, with a focus on building scalable, high‑quality data systems that support analytics, AI/ML, and enterprise data needs.
Key Responsibilities
Core Skills & Technical Expertise
Preferred (Bonus) Skills
Qualifications
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