Sr. Databricks Data Engineer, Onsite, AVP

State StreetPrinceton, NJ
Hybrid

About The Position

We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services.

Requirements

  • Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.
  • Strong hand-on experience in troubleshooting DevOps pipelines and Azure services
  • Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.
  • Experience with Micro Services - API/Event Driven Architecture/Development
  • Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
  • Strong critical thinking, communication, and problem-solving skills.
  • Bachelor’s Degree level qualification 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.
  • Communicate effectively in a professional manner both written and orally
  • Team player with a positive attitude, enthusiasm, initiative and self-motivation
  • Ability to multi-task, meet aggressive timelines and have strong work ethics
  • Experience with agile development methodology

Nice To Haves

  • Experience of working in the financial industry
  • Experience in collaborating with team members, users and stakeholders across geographical locations.

Responsibilities

  • Design & develop custom high throughput and configurable data pipelines using DataBricks.
  • Ability to drive change through collaboration, influence and demonstration of POCs
  • Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation.
  • Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
  • Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
  • Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
  • Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation

Benefits

  • our retirement savings plan (401K) with company match
  • insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
  • paid-time off including vacation, sick leave, short term disability, and family care responsibilities
  • access to our Employee Assistance Program
  • incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
  • eligibility for certain tax advantaged savings plans
  • inclusive development opportunities
  • flexible work-life support
  • paid volunteer days
  • vibrant employee networks
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