Location
Edison, NJ | United States
Job description
Role: Big Data Engineer
Duration: 12 months Contract OR Full Time
Location: Edison NJ (Day 1 Onsite)
Experience: 8+ Years
Mainly we are looking for AWS, Not Azure OR GCP
As a Software Engineer within the Corporate Investment Banking Treasury Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job Responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Programming experience in Java, Python, Groovy, Scala, JavaScript, ReactJS
- Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks)
- Hands on experience with SQL and NoSQL databases
- Experience building applications on AWS, Spring Boot and Cloud native foundations
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Data Modeling skill
- Experience building AI/ML based applications
Job tags
Salary
