Role Summary & Role Description:

Chief Data Office (CDO) - Global Technology Solutions at State Street has a mandate to govern and report on data health across the enterprise. CDO is rolling out multiple initiatives and operating model changes to execute these initiatives and generate value for our internal and external clients.

We are looking for qualified senior / lead data engineering candidates with experience primarily focused on Master Data Management use cases, while designing and delivering Databricks data ingestion pipelines and various AWS services to meet the business requirement.

Work you’ll do:

• Lead, Design and develop data solutions on various AWS services along with Databricks.

• Execute POCs and Build data integrations between on-prem/cloud-based systems.

• Manage and use appropriate tools in the cloud data lake development and deployment.

• Migrate existing data processing onto cloud platform.

• Participating in technical design, build, configuration, unit testing, and deployment.

• Ensure the requirement is accurately translated to technical design and implementation

• Ownership in diagnosis and resolution of issues and perform accurate root cause analysis

• Work with other teams for deployment, testing, training and production support

• Ensure that development, coding, privacy and security standards are adhered to at all times.

• Architecture review, identify gaps, implement best practices on AWS platform.

Core/Must have skills:

• Hands on experience with various AWS services and Databricks

• Proficiency in writing Py Spark programming for building data engineering pipelines

• Hands on experience in writing and analyzing complex SQL (Oracle/SQL)

• Experience working with cloud platform (AWS is highly preferred)

• Understanding of on-premise to cloud migration of data applications/solutions

• Hands on experience with Python programming for data processing

• Ability to perform root cause analysis on the SQL databases

• Ability to independently work and ensure requirements are properly translated in pipeline

• Ability to test the pipeline thoroughly for data accuracy (reconciliation)

• Agile SDLC processes for manage and deliver requirements across sprints and releases

Good to have:

• Expertise of CICD and DevOps processes

• AWS / Databricks certification

• Understanding of Data Governance, Data Quality and data reconciliation

Work Schedule: Hybrid

Why this role is important to us:

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

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.

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