Das ist der Job
Overview Work with one of our U.S.-based clients.
Darum lohnt es sich
Collaborate with cross-functional teams including machine learning engineers, software developers, analytics engineers, and product managers.
Requirements 8+ years of total experience collaborating with cross-functional teams, including machine learning engineers, software developers, analytics engineers, and product managers to translate business requirements into highly available data solutions 3+ years of experience developing and implementing data pipelines using PySpark Proven experience with SQL Advanced written and spoken English (B2 or C1/C2) Databricks Certification (nice to have) Experience providing practical direction within Azure native services, implementing data migration and data processing using Azure services such as ADLS, Azure Data Factory, Synapse, Azure SQL DB, Fabric Experience with Azure Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Services, Cosmos DB Knowledge of SAP HANA Intermediate knowledge of Power BI Knowledge of DevOps and CI/CD deployments, cloud migration methodologies and processes ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility.
Develop and implement data pipelines using PySpark. Translate business requirements into highly available data solutions. Maintain and improve existing data pipelines and systems. This feature helps candidates tailor their applications more effectively.
Hard Skills PySpark SQL data pipelines data migration data processing Power BI DevOps CI/CD Azure services Cloud migration methodologies Soft Skills Collaboration Communication Translation of business requirements Practical direction Certifications & Qualifications Databricks Certification #J-18808-Ljbffr
