<p>We are seeking a skilled and motivated Data Engineer to join our team, with deep hands-on experience building and optimizing data pipelines and lakehouse solutions in Databricks. In this role, you will collaborate with cross-functional teams to design, develop, and operate scalable, reliable data products that drive business value.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain batch and streaming data pipelines using Databricks (Spark, Delta Lake, Jobs/Workflows).</li><li>Partner with data scientists, analysts, and application teams to deliver trusted, well-modeled data sets and features in the Databricks Lakehouse.</li><li>Optimize Spark jobs (partitioning, caching, join strategies) and Databricks cluster configurations for performance, scalability, and cost.</li><li>Implement data quality checks, observability, governance, and security controls (e.g., Unity Catalog, access policies) within Databricks.</li><li>Troubleshoot and resolve pipeline failures, data issues, and production incidents; perform root-cause analysis and implement preventative improvements.</li></ul><p><br></p>

<ul><li>Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).</li><li>Proven experience delivering production data engineering solutions in Databricks, including Apache Spark and Delta Lake on the Microsoft Azure cloud platform.</li><li>Strong proficiency in SQL and Python (or Scala), including building ETL/ELT pipelines and writing efficient Spark code.</li><li>Experience with data modeling and lakehouse/warehouse patterns (e.g., medallion architecture) and distributed data processing concepts.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and teamwork abilities.</li></ul><p>Preferred Skills</p><ul><li>Hands-on experience with Databricks ecosystem capabilities such as Unity Catalog, Delta Live Tables, MLflow, and/or Databricks SQL.</li><li>Experience implementing CI/CD and automated testing for Databricks notebooks/repos and deployment of Jobs/Workflows.</li><li>Knowledge of data security, privacy, and compliance controls in cloud lakehouse environments (including role-based access and auditing).</li></ul><p><br></p>

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