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Platform Solutions - Dallas - Associate, Software EngineeringGoldman Sachs Group, Inc. • Dallas, Texas, United States
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Platform Solutions - Dallas - Associate, Software Engineering

Goldman Sachs Group, Inc.
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Postuler Maintenant

À propos

Platform Solutions – Dallas – Associate, Software Engineering – 4208762 Job Description Job Duties: Associate, Software Engineering with Goldman Sachs Bank USA in Dallas, Texas . Perform detailed technical design and development of data intensive capabilities using existing and emerging technologies. Using modern technologies centered on data and analytics, ensure that the Firm provides clients with powerful tools to improve cash flow management efficiency. Develop, test, rollout, and support data platform feature and contribute to the vision, roadmap, and world-class engineering culture while integrating business value and client experience. Develop big data capabilities in support of the business. Act as subject matter expert for Snowflake Data Warehouse and responsible for data and entitlement modeling and ingress and data derivation using extract, transform, and load (ETL) solutions such as Apache Airflow and Apache Spark. Build completeness and accuracy checks on various datasets prior to firmwide data store ingestion to adhere to firms’ compliance policy. Work on stream data processing and perform data tooling to enable self-service capabilities of the Corporate Cash Management (CCM) Business Intelligence platform. Build and leverage AWS XRAY, CloudWatch, and Datadog metrics to monitor production applications. Support data federation with internal Operations, Compliance, and accounting teams using the Firm’s proprietary programming languages, platforms, and models. Provide global production support for critical applications for TxB Data Platform. Mentor junior engineers and help expand the engineering team by interviewing, recruiting, and hiring new engineers.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related field and three (3) years of experience in job offered or a related software engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related field and five (5) years of experience in job offered or a related software engineering role. Prior experience must include three (3) years with Master’s OR five (5) years with Bachelor’s with the following: building systems using Object Oriented Programming languages; implementing control-driven Software Development Lifecycle (SDLC) using GitHub or GitLab, CI/CD principles, and automation pipelines; utilizing programing skills to analyze, design, develop, and support enterprise application development utilizing: Python, Java, Spring Boot, and Apache Kafka; architecting, designing, administering, or developing safe, resilient, and highly available distributed services in Amazon Web Services based on business, tech risk and compliance, and controls requirements; designing data models for enterprise applications, managing data, and writing advanced complex queries against relational databases including aggregation, multi- row sub-queries and views; building scalable Application Programming Interface (APIs) using Spring boot, REST services, GraphQL, relational databases for data processing, data modeling, and in tuning database queries and testing data pipelines; delivering extract, transform, load (ETL), development of database objects, SQL Queries, and data analytic capabilities in relational database platform; and designing and developing solutions with modern data warehousing technologies such as Snowflake Data Warehouse, Cassandra, Oracle, or Postgres. Prior experience must include two (2) years with the following: distributed Systems Development; utilizing high throughput low latency messaging platforms for building scalable data pipelines like Kafka; building highly scalable and robust applications for transaction banking data consumption and ingestion; building ETL processes using Airflow, Flink, or Spark; building observability features using services such as AWS CloudWatch or Datadog; and documenting functional architecture and diagrams based on business requirements.
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer.
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  • Dallas, Texas, United States

Compétences linguistiques

  • English
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