Data Engineer
Remote
Long Term
GC/USC/EAD
Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and systems that deliver trusted data for analysis and product use cases. This role partners with cross-functional teams to understand data needs and implement solutions that support both near-term and long-term objectives. This role requires the ability to contribute to technical design, ensure data quality, and operate with increasing independent and accountability.
Profile Description:
- Develop and maintain batch and streaming data pipelines using modern tools and frameworks. Design transformations, optimize performance, and ensure reliable data delivery.
- Design and implement scalable and maintainable data models and storage solutions that align with business needs and support efficient querying, analysis, and data integration efforts.
- Engage in agile best practices, help refine stories, identify dependencies, and proactively raise risks or concerns to ensure work is completed on time or escalated when needed.
- Implement and enforce data quality controls, validation, and compliance standards across pipelines.
- Support the deployment, scheduling, and monitoring of data pipelines and workflows to ensure consistent, reliable execution.
- Maintain comprehensive documentation and advocate for coding standards, best practices, and reusable components.
- Collaborate regularly with cross-functional teams to clarify data requirements, document assumptions, and deliver high-quality solutions. Communicate clearly during stand-ups, design discussion, and retrospectives. Actively contribute to team code reviews and sharing learnings with peers.
Knowledge & Experience:
- 10+ years of experience in data engineering, data modeling, and ETL pipelines
- Proficient in SQL and Python for creating, improving, and fixing data pipelines
- Experience with cloud and data platforms, especially Azure and Databricks (Delta Live Tables and Unity Catalog)
- Strong understanding of tools like SnapLogic, Azure Data Factory, and Jenkins for data integration and orchestration
- Practical experience with Terraform for infrastructure as code and managing deployment pipelines
- Experience integrating with APIs.
- Knowledge of data quality and monitoring tools, particularly Soda or similar
- Proficient in version control and CI/CD workflows, using tools like GitHub
- Solid understanding of data modeling principles (e.g., dimensional modeling, normalization)
- Comfortable working in agile teams, with a proactive approach to planning, organizing tasks, and collaborating
Munesh
770-838-3829,
CYBER SPHERE LLC
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