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Position Name: Senior Engineer - Software
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| The 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 independence and accountability. • 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. |
| • 2-5 years of experience in data engineering, data modelling, and ETL pipelines. • Proficient in SQL and Python for creating, improving, and maintaining data pipelines, including serverless implementations using Azure Functions. • 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. • Hands-on experience designing, building, and supporting API-based data integrations, including authentication, error handling, and performance considerations. • 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 modelling principles (e.g., dimensional modelling, normalization). |
| • Bachelor's degree in Computer Science, Engineering, or a related field; Master's Degree preferred |
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