State Street Corporation - Quincy, MA

posted 2 months ago

Full-time - Mid Level
Quincy, MA
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

This is a very exciting opportunity for talented engineers seeking to be part of a highly visible and advanced compliance technology group working in a cloud environment with Databricks, machine learning, and niche vendor products. We are looking for a self-motivated hands-on Big Data Engineer - Spark/Scala Developer for State Street's Anti-Money Laundering (AML) program. The candidate will closely work with technical and business teams based in Boston in an agile fashion to develop technical solutions for AML transaction monitoring and other compliance programs. As an Application Developer, you will be responsible for application development using Scala, Spark, Python, and other programming languages. You will lead the efforts for vendor product implementation and customization, assuming ownership from development to production rollout. This role requires working in a multi-location agile environment in alignment with business and technology teams while following application development, data engineering, performance, and security standards. 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.

Responsibilities

  • Be responsible for the application development using Scala, Spark, Python and other programming languages.
  • Lead the efforts for vendor product implementation and customization.
  • Assume ownership from development to production rollout.
  • Work in a multi-location agile environment in alignment with business and technology teams.
  • Follow application development, data engineering, performance and security standards.

Requirements

  • Bachelor's degree in computer science or engineering.
  • Minimum 3+ years of hands-on experience with application development using Spark, Scala or Python.
  • Development experience of enterprise data driven applications, ETL and data orchestration.
  • Hands-on with advanced Big Data technologies like Hadoop, Spark, Scala, Hive, SQL and NoSQL.
  • Experience with public cloud technologies such as AWS, Databricks is a big plus.
  • Ability to quickly learn and implement new technologies.
  • Moderate experience on Unix, shell scripting.
  • Knowledge of ETL tools, CI/CD, Github, Elasticsearch is a plus.
  • Knowledge of finance, custody services, data privacy, AML and related compliance domain is a plus.

Nice-to-haves

  • Experience with advanced Big Data technologies like Hadoop, Spark, Scala, Hive, SQL and NoSQL.
  • Knowledge of ETL tools, CI/CD, Github, Elasticsearch.
  • Familiarity with finance, custody services, data privacy, AML and related compliance domain.

Benefits

  • Generous medical care, insurance and savings plans.
  • Access to flexible work programs.
  • Wealth of development programs and educational support to help reach full potential.
  • Paid volunteer days and matching gift program.
  • Access to employee networks that help stay connected.
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