Sr. Databricks Data Engineer, Onsite AVP

Job summary

The Data Engineer will design, develop, and deploy scalable ETL pipelines and high-throughput data solutions using Databricks. They are responsible for the full software development lifecycle, including testing, performance optimization, and maintenance of data ingestion and curation processes.

Job details

Who we are looking for We are looking for a 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 What you will be responsible for As Data Engineer you will Design & Develop custom high throughput and configurable data piplines 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 What we value These skills will help you succeed in this role 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. Education & Preferred Qualifications 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. Additional requirements 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 Work Requirement Onsite 4 days a week in office and one day remote Standard business hours aligned to project and stakeholder needs(8am to 5pm) Salary Range: $91,000 - $140,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. About State Street 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. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. 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. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement

What you’ll do

The Data Engineer will design, develop, and deploy scalable ETL pipelines and high-throughput data solutions using Databricks. They are responsible for the full software development lifecycle, including testing, performance optimization, and maintenance of data ingestion and curation processes.

Requirements

Candidates must have a bachelor's degree in a computer or IT-related field and at least 7 years of overall IT experience. Proficiency in Databricks, SQL, Scala/PySpark, and cloud-based development on Azure or AWS is required.

Benefits

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

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• Problem solving · Preferred
• Agile · Preferred
• Critical Thinking · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Databricks
• SQL
• Scala
• PySpark
• Data engineering
• Azure
• ETL pipelines
• Data lakehouse
• Microservices
• Event driven architecture
• DevOps
• Data ingestion
• Cloud infrastructure
• Critical thinking
• Problem solving
• Agile
• Influencing Skills
• Pipelines
• Event Driven Architecture
• Influencing Without Authority
• Professionalism
• Positivity
• Ethical Standards And Conduct
• Data Lakehouse
• Self-Motivation
• Data Curation
• Application Programming Interface (API)
• Agile Methodology
• Amazon Web Services
• Microsoft Azure
• Communication
• Integration Testing
• Critical Thinking
• Data Engineering
• Data Integration
• Extract Transform Load (ETL)
• Software Development Life Cycle
• Financial Services
• Scalability
• Institutional Investing
• Problem Solving
• Life Support
• Multitasking
• Query Optimization
• Resource Management
• Scala (Programming Language)
• SQL (Programming Language)
• Troubleshooting (Problem Solving)
• Root Cause Analysis
• Data Ingestion

Job areas

• Data & Analytics
• Software
• Technology
• Finance & Accounting
• Engineering
• Data Engineer
• Software Developers
• Database Administrators

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