Senior Java Developer for Data Engineering

3 weeks ago


Brooklyn, New York, United States HexaQuEST Global, Inc. Full time
Data Engineering Expertise Sought

HexaQuEST Global, Inc. is seeking a seasoned Java developer to lead our data engineering efforts. The ideal candidate will have a strong background in Java, Spring Boot, and related frameworks, as well as experience with data processing frameworks like Apache Spark. Additionally, expertise in cloud platforms, such as AWS or Azure, and containerization technologies like Docker and Kubernetes, is highly desirable.

Key Responsibilities:

  • Design and develop optimal data pipeline architectures using best practices and integrating data into a consolidated repository.
  • Perform technical design, development, and component testing.
  • Build data and analytics tools, services, and products that manage data, metadata, or utilize data pipelines to provide actionable insights into customer engagement and experience, operational efficiency, and other key business performance metrics.
  • Develop ETLs to move data securely from source to target systems.
  • Develop new or build against existing APIs for data access or landing data as output for further downstream consumption in the appropriate target data store.

Mandatory Skills and Experience:

  • 9+ years of experience in 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.
  • Experience with RDBMS (Oracle, MySQL, PostgreSQL).
  • Understanding of 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 like Git, GitHub, Subversion.
  • Strong understanding of data engineering concepts and experience with tools like SQL, NoSQL databases, and data processing frameworks.
  • Experience with cloud platforms and containerization technologies 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 and Experience:

  • ETL experience in development with 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.

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