Data Engineer

Job Summary

Architecting and maintaining scalable data infrastructure, the full-time Data Engineer will design ETL/ELT pipelines, optimize data storage solutions, and manage data workflows in Databricks, ensuring data quality and accessibility.

Key responsibilities

• Design, build, and maintain ETL/ELT pipelines for data ingestion, processing, and transformation
• Architect and optimize data storage solutions, including databases and data lakes
• Implement data quality assessment frameworks and perform data gap analysis

Required qualifications

• Bachelor's degree in Computer Science, Information Technology, or equivalent work experience
• 2+ years of experience in data engineering with a focus on data pipelines and infrastructure
• Experience with Databricks for data processing and pipeline development
• Proficiency in Spark, Python, Scala, and SQL across multiple database platforms
• Familiarity with big data tools and distributed systems, such as Hadoop and Kafka