We are looking for a Data engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications and exposure to Cloud based database engineering platforms.
Main Duties and Responsibilities:
- End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.
- Build data integrations between on-prem/cloud-based systems.
- Design and develop high volume data ingestion components and solutions to collect data from various sources.
- Manage and use appropriate tools in the cloud data lake development and deployment.
- Responsible for developing/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 higher level of cost efficiency, performance, security, scalability, and reliability.
Required Skills:
- Development experience in designing, developing and deploying complex applications.
- Proficient in Oracle RDBMS and Python/Java/SQL coding.
- Hands on experience with Cloud data migration on AWS using Databricks and maintaining cloud-based database systems.
- Experience in building systems using modern, scalable, resilient, cloud native architectures.
- Experience in Data Modeling and DB design with strong skills in performance tuning.
- Hands on experience in setting up data pipelines for ETL jobs across multiple data sources.
- Hands on 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.
- Experience with optimizing database performance, scalability, ensuring data security and compliance.
- Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.
- Proficiency with CICD and DevOps.
Education & Qualifications
Bachelor's/Master's Degree in a computer science, computer engineering or equivalent field.
We are looking for a Data engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications and exposure to Cloud based database engineering platforms.
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.
About State Street
State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Salary Range:
$70,000 - $115,000 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.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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