<p>We are seeking a Senior Data Engineer to design, build, and optimize modern cloud-based data platforms. This role is responsible for developing scalable data pipelines, supporting enterprise analytics, and enabling data-driven decision making through robust integration, warehousing, and reporting solutions. The ideal candidate has strong Databricks experience, expertise with Azure data technologies, and a passion for building high-performance data platforms.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, Python, Spark, and SQL.</li><li>Build and optimize cloud-based data pipelines supporting structured and semi-structured data.</li><li>Develop and maintain data lake and data warehouse solutions for enterprise reporting and analytics.</li><li>Optimize data processing performance, reliability, and cost efficiency.</li><li>Implement data quality, validation, and governance practices across the data platform.</li><li>Collaborate with business and technical stakeholders to gather requirements and deliver scalable data solutions.</li><li>Design integrations with cloud services, APIs, databases, and third-party systems.</li><li>Develop dashboards, reporting datasets, and curated data products that enable self-service analytics.</li><li>Contribute to cloud architecture, Infrastructure as Code, CI/CD automation, and platform best practices.</li><li>Document data models, pipelines, and technical solutions while mentoring team members on modern data engineering practices.</li></ul><p><br></p>

<ul><li>Bachelor&#39;s degree in Computer Science, Information Systems, Data Engineering, or a related field.</li><li>7+ years of experience designing and supporting enterprise data platforms.</li><li>Extensive hands-on experience with Databricks, Apache Spark, Python, SQL, and Delta Lake.</li><li>Strong experience with Azure data services, including Azure Data Factory.</li><li>Experience designing and supporting modern data lake and data warehouse architectures.</li><li>Strong understanding of ETL/ELT development, data modeling, and database design.</li><li>Experience with CI/CD pipelines, Infrastructure as Code, and cloud-based deployment practices.</li><li>Familiarity with Azure, AWS, or hybrid cloud environments.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Experience working in Agile development environments.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience with Microsoft Fabric.</li><li>Experience working with large-scale scientific, research, or highly regulated datasets.</li><li>Familiarity with data governance, security, and compliance best practices.</li><li>Experience building high-performance analytics platforms in Azure or AWS.</li></ul><p><br></p>

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