Data Engineer Job at Covetus, Jersey City, NJ

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  • Covetus
  • Jersey City, NJ

Job Description

Experience Required:

6–10 years of relevant experience

Required Skills & Technologies:

Programming Languages: Java (preferred Java 21), Python

Frameworks & Tools: Spring, Spring Boot (3.x), Kubernetes, Apache Hadoop, Apache Ignite

Databases:

Relational: IBM DB2, SybaseIQ

NoSQL: MongoDB, Elastic

In-Memory: MEMSQL, Ignite

Cloud: Snowflake (nice to have)

Data & Processing:

SQL, data analysis, data processing, data querying, data science, data storage, data warehouse

Big data and business intelligence technologies

DevOps & Infrastructure:

Containerization, virtualization, IT infrastructure

Software Engineering:

Algorithms and data structures

Software development best practices

Experience with multi-paradigm programming

Experience with enterprise-grade software systems

Communication & Team Skills:

Strong written and verbal communication

Ability to work in collaborative team environments

Behavioral and transversal (soft) skills

Problem-solving and analytical thinking

Other:

Experience with software components and application software

Operational and performance management

Exposure to Goldman Sachs internal languages (Slang, Alloy) is a plus

Responsibilities:

Apply core software engineering principles to design and develop robust applications

Work with at least two high-level programming languages (Java, Python preferred)

Design and implement algorithms and data structures for scalable systems

Document software systems and clearly communicate solutions to engineering stakeholders

Track and manage the delivery of software features and systems

Address high-performance computing challenges in a language-agnostic manner

Develop trading control systems within an investment banking environment

Perform data-driven performance analysis and optimizations

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