State Street
Financial Services
SeniorDataEngineer-SeniorManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Senior Data Engineer - Senior Manager at State Street. Skills: Data pipelines, ETL/ELT, Cloud platforms, CI/CD. Integrate various technologies. Design data pipelines”
Industry & Context.
Troubleshoot production issues; Analyze logs
What They're Looking For.
Must Have
7+ years of experience in technology, 7+ years of experience in data functions, Hands on development in Python, Hands on development in PySpark, Hands on development in SQL, Hands on development in Shell Scripting, Working experience in all phases of project
Nice to Have
Knowledge in Databricks, Knowledge in Snowflake, Knowledge in AWS Iceberg, Knowledge in Apache Iceberg
What You'll Do.
Integrate various technologies
Design data pipelines
Develop data pipelines
Maintain data pipelines
Build ETL/ELT processes
Optimize ETL/ELT processes
Develop containerized applications
Develop containerized jobs
Automate operational tasks
Improve data workflow efficiency
Implement data storage design
Implement data retrieval design
Apply data modeling concepts
Write automation scripts
Participate in code reviews
Troubleshoot production issues
Contribute to fast resolution
Collaborate with cross functional teams
Provide scalable engineering solutions
Develop into Subject Matter Expert
Show ownership of deliverables
Design CI/CD pipelines
Maintain CI/CD pipelines
Review existing processes
Recommend improvements
Prepare technical documentation
Maintain technical documentation
Prepare functional documentation
Maintain functional documentation
How You'll Work.
Team & Collaboration
Cross functional teams
Communication Scope
Written communication; Verbal communication
Process & Methodology
Lead projects
Full Job Description
Please find the Job Description. **Company profile** 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. **Key Responsibilities & Experience Range** * **Software Development:** * Specialize in seamless integration of various technologies to ensure cohesive application development. * Design, develop, test, and maintain data pipelines using Python, PySpark, and SQL. * Build and optimize large scale ETL/ELT processes on cloud platforms such as AWS (or any major cloud). * Develop containerized applications and jobs using Docker. * Write shell scripts to automate operational tasks and improve data workflow efficiency. * **Database management:** * Demonstrate profound understanding of relational databases. * Implement design principles for efficient data storage and retrieval * Work with structured and unstructured datasets, applying strong data modeling concepts. * **Testing and Troubleshooting:** * Ensure code quality by writing unit tests, automation scripts, and participating in code reviews. * Troubleshoot production issues, analyze logs, and contribute to fast resolution. * **Ownership and Collaboration:** * Collaborate with cross functional teams to define requirements and provide scalable engineering solutions. * Develop oneself into a Subject Matter Expert (SME) on Technical & Domain areas. * A self-starter with excellent organizational, time and relationship management skills. * Able to lead projects with minimal guidance and should show complete ownership of deliverables. * **Delivery and Documentation:** * Design and maintain CI/CD pipelines using tools s
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