Senior Data Engineer: Cloud Data Lake & ELT Architect

STATE STREET CORPORATION; Quincy (MA); On-site; USD 110,000 - 208,000; Full time

Benefits offered by this job

401K plan with company match

Insurance coverage (medical, dental,视)

Paid time off

Job summary

State Street Corporation is seeking a Senior hands-on Data Engineer for Cloud Data Lake design and development in Massachusetts. You will drive end-to-end data ingestion, modeling and distribution while partnering with senior managers, architects and business leaders to shape the technology roadmap.

The role emphasizes experience with PL/SQL, Java/J2EE, Python, Scala, and cloud platforms (Databricks preferred).

Qualifications

• Proficient in designing, developing and deploying complex applications.
• Strong background in database design and performance tuning.

Responsibilities

• End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.
• Build data integrations, hand-offs 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.

Skills

PL/SQL

Java/J2EE

Python

Scala

PERL/scripting

Databricks

Cloud architecture

Data modeling

ELT pipelines

Big data processing

Cloud security (AWS/Azure)

CICD/DevOps

Education

Bachelor’s/Master’s Degree in Computer Science, Engineering or Math

Tools

AWS

Azure

CI/CD tooling

Job description

State Street Corporation is seeking a Senior hands-on Data Engineer for Cloud Data Lake design and development in Massachusetts. You will drive end-to-end data ingestion, modeling and distribution while partnering with senior managers, architects and business leaders to shape the technology roadmap.

The role emphasizes experience with PL/SQL, Java/J2EE, Python, Scala, and cloud platforms (Databricks preferred).