Local to CA - Lead Data Engineer - San Francisco, CA (Hybrid Onsite)

Hi, Hope you’re doing well. My name is Ashish and I am a Technical Recruiter from Empower Professionals Inc. We are sourcing for a Lead Data Engineer role located at San Francisco, CA (Hybrid Onsite) and it’s a long-term contract with possible extensions. If you’re skills match the job description, please share your updated resume along with your location and expected rate so that I can get in touch with you for further process Role: Lead Data Engineer Locations: San Francisco, CA (Hybrid Onsite) Duration: 12+ Months Contract Overview: • We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities • The ideal candidate will possess deep expertise in data engineering largescale data integration and cloudbased data platforms with handson experience in Databricks Native Data Loader Lakeflow Connect Delta Lake and enterprise data migration from relational databases such as Oracle MySQL and SQL Server • This role will lead the design and implementation of modern data pipelines mentor engineering teams and collaborate closely with business and technology stakeholders to deliver reliable scalable and highperforming data solutions Key Responsibilities: Databricks Data Engineering Data Ingestion: • Design and implement enterprisescale data ingestion frameworks using Databricks Native Data Loader Lakeflow Connect and other Databricksnative capabilities • Build and optimize batch and streaming data pipelines for ingesting data from Oracle MySQL SQL Server APIs and other enterprise data sources • Develop robust ELTETL pipelines leveraging Databricks Spark Delta Lake and cloudnative technologies • Implement endtoend data movement transformation validation and monitoring solutions • Lead architectural decisions related to data ingestion storage processing and governance Data Engineering: • Create and maintain optimal data pipeline architecture • Build scalable data pipelines that transform raw and unstructured data into analyticsready datasets • Assemble large complex datasets that meet both functional and nonfunctional business requirements • Identify design and implement process improvements including automation infrastructure optimization and scalability enhancements • Develop infrastructure for extraction transformation and delivery of data from diverse data sources using distributed processing technologies • Build and maintain new integrations required for optimal data extraction transformation and loading ETLELT • Implement processes to validate data and monitor data quality ensuring production data is accurate and reliable • Perform root cause analysis on data issues and recommend corrective actions • Write unit and integration tests adopt TestDriven Development TDD practices and maintain technical documentation • Ensure platform reliability performance optimization and adherence to enterprise standards Leadership Collaboration: • Provide technical leadership and mentoring to junior engineers • Collaborate with Product Engineering Analytics Architecture and Business stakeholders to understand requirements and deliver data solutions • Drive best practices in coding DevOps CICD testing and documentation • Participate in architecture reviews code reviews and technical design discussions • Support Agile development processes and contribute to sprint planning and estimation activities -- Thanks Ashish Pandey Technical Recruiter | Empower Professionals ashish@empowerprofessionals.com | ...................................................................................................................................... Fax: 732-356-8009 | 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873 www.empowerprofessionals.com Certified NJ and NY Minority Business Enterprise (NMSDC) To subscribe or unsubscribe: https://send.empowerprofessionals.com/newsletter/subscribe/647186e8-bcb0-4f73-8f80-cb3daff9ad90