Join Our Team as a Data Engineer for Cloud Data Lake Activities!

We are seeking a skilled Data Engineer with a focus on Cloud Data Lake activities. The ideal candidate should have robust industry experience, preferably in Financial Services, supporting enterprise applications and working with cloud-based database engineering platforms.

Main Duties and Responsibilities

As a Data Engineer, your key responsibilities will include:

• End-to-end Cloud Data Lake design and development, including data ingestion, data modeling, and data distribution.
• Building data integrations between on-premise and cloud-based systems.
• Designing and developing high-volume data ingestion components and solutions to collect data from various sources.
• Managing and utilizing appropriate tools in cloud data lake development and deployment.
• Developing and implementing cloud infrastructure to support current and future business needs.
• Participating in technical design, application build, configuration, unit testing, and production deployment.
• Ensuring all cloud solutions exhibit high cost efficiency, performance, security, scalability, and reliability.

Required Skills

The successful candidate will have:

• Development experience in designing, developing, and deploying complex applications.
• Proficiency in Oracle RDBMS and coding in Python, Java, and SQL.
• Hands-on experience with cloud data migration on AWS using Databricks and maintaining cloud-based database systems.
• Experience in building systems using modern, scalable, cloud-native architectures.
• Experience in Data Modeling and database design with strong performance tuning skills.
• Hands-on experience in setting up data pipelines for ETL jobs across multiple data sources.
• Experience in troubleshooting and resolving database performance issues.
• Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Policies, Security Groups, and Encryption keys.
• Expertise in optimizing database performance, scalability, and ensuring data security and compliance.
• Proficiency with event-based, micro-batch, and high-velocity, high-volume transaction and data processing systems.
• Competence in CICD and DevOps practices.

Education & Qualifications

We are looking for candidates with a:

• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or an equivalent field.

Why Join Us?

We believe in the value of diverse backgrounds and experiences. If you enjoy innovation, seeing the bigger picture, making data-driven decisions, and being a team player, you could be a great fit for our team.

About State Street

State Street is one of the largest custodian banks, asset managers, and asset intelligence companies in the world. Our technology function, Global Technology Services (GTS), is crucial to delivering data and insights to our clients. We're driving the company’s digital transformation using advanced technologies such as cloud, artificial intelligence, and robotic process automation.

We offer a collaborative environment where your technology skills and innovation are valued. Join us if you want to grow your technical skills, solve real problems, and make your mark in our industry.

Work, Live, and Grow

We provide competitive and comprehensive benefits packages tailored to your needs. Flexible work programs and various development programs support your professional and personal growth. We value diversity and inclusion, welcoming candidates from all backgrounds. Additionally, our community engagement programs ensure you stay connected to what matters to you.

Salary Range

$70,000 - $115,000 Annual

The quoted range applies to the primary location specified. Should the candidate work outside this primary location, the applicable range might differ.

State Street is an equal opportunity and affirmative action employer.

Additional Information:
Company Name: State Street
Job Title: Data Engineer, Officer

If you're ready to make a significant impact in your career, and join our team!