Senior Data Engineer - UST

Key Responsibilities

• Design, build, and maintain large‑scale data pipelines and lakehouse architectures on AWS using Python, Spark, and SQL.
• Implement robust ETL processes, data quality checks, and monitoring to support analytics, reporting, and machine learning workloads.
• Collaborate with data scientists, product owners, and business stakeholders to translate requirements into scalable data solutions.
• Optimize performance and cost of data services, leveraging AWS services such as S3, Redshift, Glue, and Athena.
• Document data models, pipeline logic, and best practices for reproducibility and knowledge transfer.

Requirements

• 5+ years of experience in data engineering, with a strong background in Python, SQL, and Spark.
• Hands‑on experience with AWS data services (S3, Redshift, Glue, Athena, EMR).
• Proven ability to design and implement scalable, fault‑tolerant data pipelines.
• Strong analytical skills and a passion for data quality and governance.
• Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.