Job Category: Data Engineer/ Architect
Job Type: Remote
Job Description
A leading organization is seeking a Senior Data Engineer to support data platform initiatives and contribute to the development of scalable data solutions. This position requires a hands-on engineer who can work independently, build reliable data pipelines, and solve complex technical challenges with limited oversight.
Responsibilities
- Design, develop, and maintain data pipelines that support analytics and business operations.
- Create and optimize data processing workflows using Python, PySpark, and SQL.
- Build and support data engineering solutions within Databricks and Azure environments.
- Integrate, transform, and manage data from multiple sources to ensure quality and usability.
- Troubleshoot data platform issues and implement effective, scalable solutions.
- Collaborate with technical and business teams to understand requirements and deliver data-driven outcomes.
- Proactively identify improvements, anticipate future data needs, and recommend enhancements to existing processes.
Required Experience and Skills
- Mid-to-senior level experience in data engineering.
- Strong Python development skills.
- Advanced SQL expertise.
- Experience with PySpark for large-scale data processing.
- Hands-on experience with Databricks.
- Experience working with Azure cloud technologies.
- Proven ability to build, maintain, and optimize data pipelines.
- Strong problem-solving skills and the ability to work independently with minimal direction.
- Ability to evaluate challenges, develop solutions, and take ownership of technical deliverables.
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