Data Engineer: Scalable Data Solutions Expert
2 weeks ago
Job Description
We are seeking a highly skilled Data Engineer to join our team at Collabera. The ideal candidate will have strong proficiency in Python, Spark, SQL, and object-oriented programming.
The successful candidate will be responsible for building and maintaining ETL pipelines to centralize data from multiple sources, modernizing legacy systems by converting .NET/C# code into Python workflows, and optimizing existing processes for scalability and efficiency.
Day-to-Day Responsibilities
- Modifying and optimizing Python modules and Databricks notebooks
- Building ETL pipelines and managing structured and unstructured data
- Reverse-engineering legacy systems, working with APIs, SFTP transfers, and Azure Blob Storage
- Maintaining clean, scalable solutions and collaborating with stakeholders to refine requirements
- Communicating with stakeholders to clarify requirements and maintain alignment
Requirements
- 3-5 years of experience as a Data Engineer
- Strong proficiency in Python, Spark, SQL, and object-oriented programming
- Experience building scalable ETL pipelines and handling structured/unstructured data (e.g., JSON, XML)
- Knowledge of Azure storage and Git workflows (commits, branching, mergers)
- Able to reverse-engineer legacy code and implement efficient solutions
- Familiarity with GitHub Actions and advanced version control practices
Benefits
This is a full-time position with a competitive salary range of $120,000 - $180,000 per year, depending on experience.
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