remote
Associate Data Engineer - UST
Data Engineer
Entry‑level data engineer responsible for building and maintaining data pipelines, transforming raw data into usable formats, and supporting analytics initiatives using Python, SQL, and cloud services.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines to ingest and process data from multiple sources.
- Write clean, efficient Python and SQL code for data extraction, transformation, and loading.
- Collaborate with data analysts and engineers to define data models and ensure data quality.
- Deploy and monitor data workflows on AWS services such as S3, Redshift, and Lambda.
- Utilize Apache Spark for large‑scale data processing and performance optimization.
- Document pipeline architecture, data lineage, and operational procedures.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proficiency in Python programming and SQL query writing.
- Hands‑on experience with ETL tools or frameworks and cloud platforms (AWS preferred).
- Familiarity with big‑data technologies such as Apache Spark.
- Strong analytical mindset, problem‑solving skills, and ability to work in a collaborative team environment.
Skills
pythonsqlawsapache spark