<p>Position Overview</p><p>We are seeking a Data Engineer Engineer to support and enhance a Databricks‑based data platform during its development phase. This role is focused on building reliable, scalable data solutions early in the lifecycle—not production firefighting.</p><p>The ideal candidate brings hands‑on experience with Databricks, PySpark, Python, and a working understanding of Azure cloud services. You will partner closely with Data Engineering teams to ensure pipelines, notebooks, and workflows are designed for long‑term scalability and production readiness.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop and enhance Databricks notebooks, jobs, and workflows</li><li>Write and optimize PySpark and Python code for distributed data processing</li><li>Assist in designing scalable and reliable data pipelines</li><li>Apply Spark performance best practices: partitioning, caching, joins, file sizing</li><li>Work with Delta Lake tables, schemas, and data models</li><li>Perform data validation and quality checks during development cycles</li><li>Support cluster configuration, sizing, and tuning for development workloads</li><li>Identify performance bottlenecks early and recommend improvements</li><li>Partner with Data Engineers to prepare solutions for future production rollout</li><li>Document development standards, patterns, and best practices</li></ul>

<p>Required Skills & Qualifications</p><p>3+ years of hands‑on experience working with:</p><p>Databricks & Spark</p><ul><li>Strong hands‑on Databricks experience</li><li>Proficiency with PySpark and Spark fundamentals</li><li>Experience with Delta Lake</li><li>Understanding of Spark execution (jobs, stages, tasks, shuffles)</li></ul><p>Programming</p><ul><li>Strong Python development skills</li><li>Ability to write clean, modular, reusable code</li></ul><p>Cloud Experience (Azure Preferred)</p><ul><li>Experience working in Microsoft Azure</li><li>Familiarity with:</li><li>Azure Databricks</li><li>Azure Data Lake Storage (ADLS)</li><li>Azure Blob Storage</li><li>Basic understanding of cloud resource usage and cost awareness</li></ul><p>Development Practices</p><ul><li>Experience using Git and version control workflows</li><li>Familiarity with Databricks Repos or similar tools</li><li>Ability to perform testing and validation of data pipelines</li></ul><p><br></p>

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