Senior Data Engineer

• 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.

Do you have experience in Spark?, Do you have a Master's degree?, 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., * 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

Preferred (Bonus) Skills

• 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