Location: New York,NY, USA
JOB DESCRIPTION:
Full Stack Developer - Data Engineer responsible for designing, developing, and maintaining data-driven applications and systems.
Work closely with the team to build scalable and efficient solutions that leverage both front-end and back-end technologies.
Design, develop, and maintain full-stack applications using Java, JavaScript, HTML/CSS, and other relevant technologies.
Manage the development of APIs, for data access or landing data as output for further downstream consumption in the appropriate target data store.
Implement data models, ETL processes, and data pipelines to support data-driven applications using SQL, cloud, and 'big data' technologies.
Develop data pipelines that conform multiple sources of transactional data to a unified standard and integrate this data into the MDM repository.
Conduct thorough quality assurance testing of code and technical deliverables prior to submission and conduct peer review of code created by other developers on the project.
Optimize performance and scalability of data-driven applications and systems.
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Ensure data security, integrity, and compliance with privacy regulations.
Create, update, and maintain system documentation.
Coordinate appropriate security scan accreditations.
Perform special projects and initiatives as assigned.
MANDATORY SKILLS:
8+ years of experience in the Java application development and implementation of large technology projects.
5+ years of experience in writing SQL.
Experience in front-end and back-end application development.
Proven experience as a Full Stack Developer with expertise in Java, Spring Boot, Python, JavaScript, and related frameworks (e.g., React, Angular, Node.js, Vue)
Experience with RDBMS (Oracle, MySQL, PostgreSQL)
Understand basic design principles behind a scalable application.
Experience with service-oriented architecture and RESTful web services
Knowledge of JSON, XML, XSD, WSDL, JDBC, MQ, SOAP concepts
Strong problem-solving skills and enjoy learning new technologies.
Experience with an agile, iterative development process and version control tools such as Git, GitHub, Subversion.
Strong understanding of data engineering concepts and experience with tools such as SQL,
NoSQL databases, and data processing frameworks (e.g., Apache Spark).
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Experience working on large datasets, data models and full-cycle data pipeline development.
Experience working with Amazon Web Services or Microsoft Azure cloud computing platform and services.
Experience developing cloud-ready applications.
Excellent problem-solving and communication skills.
Ability to work effectively in a fast-paced and collaborative environment
DESIRABLE SKILLS:
ETL experience in development with the suite of tools from Informatica PowerCenter, IBM DataStage and B2B Data Transformation.
Experience using Oracle 12g, AWS RDS/MySQL and/or a database appliance.
Knowledge of IBM Master Data Management (MDM) implementation
Knowledge of metadata-driven enterprise reporting platforms.
Prior experience working on complex data integration projects