Sr. Databricks Data Engineer, Onsite AVP at State Street | CA | Rezi

Sr. Databricks Data Engineer, Onsite AVP at State Street

Sr. Databricks Data Engineer, Onsite AVP

State Street · CA

6 days ago

Sr. Databricks Data Engineer, Onsite AVP

State Street · CA

6 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Sr. Databricks Data Engineer, Onsite AVP role.

Rezi rewrites your resume against State Street's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Sr. Databricks Data Engineer, Onsite AVP posting at State Street — free, in seconds.

About the Role

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

Responsibilities

  • Design & Develop custom high throughput and configurable data pipelines using DataBricks.
  • 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, and 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, and corrective, adaptive, and perfective maintenance.
  • Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation.

Requirements

  • 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.
  • Experience of working in the financial industry.
  • Experience in collaborating with team members, users, and stakeholders across geographical locations.
  • Ability to multi-task, meet aggressive timelines, and have strong work ethics.
  • Experience with agile development methodology.

Skills

  • Databricks SQL & Scala/PySpark - Data engineering pipeline
  • Troubleshooting DevOps pipelines and Azure services
  • End-to-end data solutioning for building Data Lakehouse using Databricks
  • Micro Services - API/Event Driven Architecture/Development
  • Critical thinking
  • Communication
  • Problem-solving skills

Location

  • Onsite

Work Type

  • Hybrid
  • Full-time

Experience Level

  • 7+ years of overall IT experience
  • 5+ years of Data Engineering experience
  • 3+ years of Databricks hands-on experience
  • 3+ years of cloud-based development experience

Education Level

  • Bachelor’s Degree in Computer or IT related subject

Salary/Compensations

  • $91,000 - $140,500 Annual

Benefits

  • Inclusive development opportunities
  • Flexible work-life support
  • Paid volunteer days
  • Vibrant employee networks

About the Company

  • Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
  • We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
  • We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
  • Join us in shaping the future.
  • Discover more information on jobs at StateStreet.com/careers
  • Read our CEO Statement

Equal Opportunity

  • As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.