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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

Onsite 4 days a week in office and one day remote
Standard business hours aligned to project and stakeholder needs (8am to 5pm)

Experience Level

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

Education Level

Bachelor’s Degree in a 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.

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.