DataBricks Engineer

Responsibilities: Partner with business stakeholders and Global Product teams to understand data domains, business processes, and analytical requirements.Design, develop, and maintain scalable data pipelines and transformation jobs on the Databricks Lakehouse Platform to generate business metrics, KPIs, and curated datasets.Develop and optimize batch and streaming data pipelines using Databricks, Apache Spark (PySpark/Scala), and Delta Lake technologies.Build and maintain data ingestion framewor

We are looking for an experienced Databricks Architect to lead the design, development, and implementation of scalable data platforms on Databricks. The ideal candidate will have strong expertise in Spark, Delta Lake, data engineering, and cloud platforms (Azure/AWS/Google Cloud Platform), along with proven experience in architecting modern data solutions.Key ResponsibilitiesDesign and implement end-to-end data architecture using Databricks Lakehouse platformDefine data engineering best practice

The Databricks Platform Engineer is responsible for the administration, governance, and operational management of the enterprise Databricks platform on AWS. This role serves as the primary liaison between platform engineering and internal customers, ensuring the platform is secure, scalable, cost-efficient, and aligned with business and data strategy objectives. Responsibilities: Serve as the primary point of contact and liaison for internal customers, gathering requirements and providing guidan

We are seeking a highly experienced Databricks Genie Engineer with data engineering experience and deep expertise in the Databricks Lakehouse platform. The ideal candidate will design, build, and optimize scalable data pipelines, implement AI-powered data interactions using Databricks Genie, and drive enterprise-grade data solutions across cloud environments. You will play a key role in architecting modern data platforms, enabling self-service analytics through natural language querying (Genie),