Senior Databricks Data Engineer Real-Time ETL & Lakehouse

State Street

Quincy (CA)

On-site

USD 90,000 - 158,000

Full time

13 days ago
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Job summary

State Street is seeking a Sr. Databricks Data Engineer to design and deploy high-throughput data pipelines on Databricks. You will build end-to-end data ingestion (streaming, events, batch) and drive scalable ETL on Azure/AWS cloud platforms, while optimizing performance and leading SDLC activities.

Ideal candidates have 7+ years in IT and 3+ years with Databricks SQL & Scala/PySpark, plus strong collaboration and communication skills to work with global teams.

Qualifications

  • Bachelor's Degree in a computer or IT related subject.
  • 7+ years of overall IT experience.
  • 5+ years of Data Engineering experience handling large datasets.
  • 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
  • 3+ years of experience on cloud-based development using Azure/AWS.

Responsibilities

  • Design, develop, and deploy high throughput data pipelines using DataBricks.
  • Build end-to-end data ingestion pipelines (streaming, events, batch) and data curation.
  • Optimize Databricks job performance, including query optimization and scaling.
  • Address data issues, environment issues, performing impact analysis, root cause analysis.
  • Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation.

Skills

Databricks SQL
Scala/PySpark
Data pipelines
Azure services
DevOps troubleshooting
Problem solving
Communication

Education

Bachelor's Degree in Computer/IT

Tools

Azure
AWS
Databricks

Job description

State Street is seeking a Sr. Databricks Data Engineer to design and deploy high-throughput data pipelines on Databricks. You will build end-to-end data ingestion (streaming, events, batch) and drive scalable ETL on Azure/AWS cloud platforms, while optimizing performance and leading SDLC activities.

Ideal candidates have 7+ years in IT and 3+ years with Databricks SQL & Scala/PySpark, plus strong collaboration and communication skills to work with global teams.

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