Data Engineer

• Develop and maintain ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL.
• Assist with building and supporting Delta Lake tables and Medallion Architecture (Bronze, Silver, Gold).
• Develop data transformations using PySpark and SQL.
• Support ingestion of data from enterprise applications, APIs, databases, and cloud storage.
• Perform data validation, cleansing, and quality assurance activities.
• Monitor data pipelines and troubleshoot processing issues.
• Create and maintain technical documentation for data processes and workflows.
• Assist with implementing data governance, security, and data quality standards.
• Support reporting, analytics, and business intelligence initiatives.
• Participate in Agile planning, sprint reviews, and team meetings.
• Collaborate with senior engineers to implement scalable and reliable data solutions.
• Continuously learn new technologies and data engineering best practices.

Requirements Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, or a related technical field. 0–2 years of experience in data engineering, software development, analytics, or related technical experience. Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred. Basic knowledge of SQL and relational databases. Basic programming experience with Python or Java. Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects preferred. Familiarity with Git or other version control systems is a plus. Strong analytical and problem-solving skills. Ability to learn new technologies quickly and work effectively in a collaborative environment. Core Competencies Proficient in developing and maintaining ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL, with a strong foundation in data transformation and quality assurance. Demonstrates analytical problem-solving skills and the ability to collaborate effectively in Agile environments. Highest-signal resume keywords ETL/ELT Data Pipeline Development Data Bricks Apache Spark SQL PySpark ATS Optimization Keywords Hard Skills Data Transformation Data Validation Data Cleansing Data Quality Assurance Technical Documentation Soft Skills Analytical Skills Problem-Solving Skills Collaboration Industry Keywords Data Engineering Cloud Computing Business Intelligence Data Governance Data Security Tools & Technologies Delta Lake Medallion Architecture Cloud Storage Git Agile Methodologies #J-18808-Ljbffr Jobtailor