Data Engineer

This position will partner with analytics teams, Data Architects, business stakeholders, and IT teams to design, build, and maintain scalable data solutions. The role focuses heavily on developing data pipelines, preparing complex datasets, improving data quality, and supporting enterprise data warehouse and analytics initiatives.What the Candidate Will Be Working On:Design, develop, and maintain scalable data and ETL pipelinesAssemble, cleanse, and transform large datasets from multiple sourcesDevelop and maintain data warehouse solutions and data modelsWork with stakeholders to gather and translate data requirementsBuild analytical and reporting solutionsAutomate manual data preparation and transformation processesImprove data quality, reliability, scalability, and system performanceDevelop testing strategies and validation processesCreate technical documentation and project artifactsSupport deployments, production applications, and incident resolutionWork with senior engineers and architects on solution design and implementationWhat we are looking for:A hands-on Data Engineer with solid pipeline, ETL, SQL, data modeling, and data quality fundamentals. The strongest candidates will have experience in the Databricks Lakehouse ecosystem, particularly Delta Lake, DLT, Unity Catalog, Workflows, Medallion Architecture, and CI/CD.