Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage.
Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability.
Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking.
Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
3-5 years of experience in data engineering and governance.
Advanced knowledge of SQL language.
Advanced understanding of API frameworks and JSON transformations.
Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
Basic understanding of business and operating environment.
Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
Experience with data management, processing and analytic tools (Databricks).
Experience with data integration and processing tools.
Basic problem-solving skills.
Basic communication and collaboration skills.
Working experience with data warehousing solutions, ETL tools, and data system design.
Basic knowledge of data engineering principles, technologies, and architecture.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdata integrationdata storageSQLAPI frameworksJSON transformationsdata warehousingMongoPythonETL

Soft Skills

problem-solvingcommunicationcollaboration