SS - DATA ENGINEER ROLE

Key Responsibilities Design, build, and maintain data pipelines using Azure DatabricksPerform data ingestion, transformation, and processing for enterprise data platformsWork closely with onsite client teams and stakeholders to understand data requirementsSupport data engineering workloads aligned to DNA (Data & Analytics) programsCollaborate with offshore teams, as applicable, to ensure endtoend delivery Required Technical Skills Databricks strong handson experience (mandatory)Azure Data Engin

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to GM Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, and improve processes, services, and delivery patterns acro

Key ResponsibilitiesDesign, build, and orchestrate scalabledata pipelinesusing Azure-native services.Develop and optimizebatch and near real-time data processing solutionsusing Spark and Databricks.Implement and manageenterprise-grade Lakehouse architectures(Medallion architecture).Performdata processing, validation, and automationusing Python (PySpark, Pandas, NumPy).Optimize performance of large-scale data systems, includingSpark tuning and query optimization.Work withCDC (Change Data Capture)

Job Title: Data Engineer Experience: 8 + years Job Location: Remote Employment Type: 3-month contract with possible extension Minimum 10 years of DE experience in designing and implementing data pipeline on Azure and Databricks Have in-depth experience in data product implementation (Silver & Gold data products) with associated data contracts on Databricks Understand the requirements and create technical design/data model aligned with the medallion architecture Drive requirement gathering, integ