Job Description
Job Description
We are seeking a Data Engineer to design, build, and optimize scalable, cloud-native data pipelines and services. This role will work closely with Salesforce and broader engineering teams to modernize legacy systems and enable efficient, reliable data flows across platforms. This position plays a key role in transitioning legacy workflows (e.g., NiFi, Java APIs) to modern architectures leveraging GCP and Salesforce Data Cloud, requiring a strong data engineering foundation combined with Salesforce integration experience.
Key Responsibilities:
• Design, build, and operate scalable data pipelines in cloud environments (GCP preferred) with integration into Salesforce Data Cloud
• Lead the migration and modernization of legacy workflows (e.g., NiFi, Java APIs) to cloud-native architectures such as Dataflow and Pub/Sub
• Develop and maintain distributed data processing systems using technologies like Spark and Hadoop ecosystem tools
• Build and suppor...
We are seeking a Data Engineer to design, build, and optimize scalable, cloud-native data pipelines and services. This role will work closely with Salesforce and broader engineering teams to modernize legacy systems and enable efficient, reliable data flows across platforms. This position plays a key role in transitioning legacy workflows (e.g., NiFi, Java APIs) to modern architectures leveraging GCP and Salesforce Data Cloud, requiring a strong data engineering foundation combined with Salesforce integration experience.
Key Responsibilities:
• Design, build, and operate scalable data pipelines in cloud environments (GCP preferred) with integration into Salesforce Data Cloud
• Lead the migration and modernization of legacy workflows (e.g., NiFi, Java APIs) to cloud-native architectures such as Dataflow and Pub/Sub
• Develop and maintain distributed data processing systems using technologies like Spark and Hadoop ecosystem tools
• Build and suppor...