Unlock Your Potential as a Data Engineer
2 weeks ago
As a Data Engineer at Cube Hub Inc, you will be responsible for designing and developing scalable, robust data pipelines that support analytics and reporting needs.
Key Responsibilities:
- Design and build ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
- Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
- Design, develop, and optimize DBT models to support scalable data transformations.
Required Skills:
- 7+ years of experience in data engineering or design experience.
- Proficiency in SQL and one other programming language (e.g., Python, R, C++).
- Knowledge of optimization engines such as CPLEX or Gurobi.
- Experience with cloud platforms (Azure) and containerization technologies (Kubernetes).
- Strong analytical and problem-solving skills.
Technical Skills:
- Experience in designing, developing, and scaling complex data & feature pipelines feeding ML models.
- Experience in building and managing streaming and batch inferencing.
- Strong experience with DevOps practices, including CI/CD tools.
Our ideal candidate is a detail-oriented and organized professional who excels in collaborative environments. If you have a passion for working with cutting-edge technology and collaborating with talented professionals, we encourage you to apply.
At Cube Hub Inc, we value our team members' growth and well-being. We offer opportunities for professional development, a competitive compensation package, and a dynamic work environment.
We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds and perspectives.
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