Software engineer

About the job

Syntasa are digital behavior experts. Our no-code, low-code, pro-code Data+AI Platform orchestrates cloud-native services and leverages the latest advances in AI and machine learning to gain insights from digital behavior and activate those insights autonomously.

We use our platform to deliver solutions for our clients in the commercial, public sector, and national security sectors. In commercial, we focus primarily on marketing solutions, including CDP, audiences, and personalized recommendations. In the public sector, we analyze digital behavior and conversation within the community to get insights into needs and attitudes, as well as improve the experience of digital services. Our national security clients use us as an enterprise Data and AI/ML platform to deliver many use cases and apps.

We seek a passionate, collaborative, and creative marketer to drive thought leadership, awareness, demand, and adoption. This role requires a high level of creativity, attention to detail, continuous desire to learn, and project and vendor management skills. You'll play a vital role in enhancing our brand's online presence and communication strategies.

We offer a fun, casual, collaborative working environment for individuals who take pride in working on cutting-edge technologies, learning by doing, and pushing themselves forward. You’ll collaborate with a passionate team and work with industry leaders in applying AI/ML to big data in marketing.

Job Role: Senior Marketing Manager

Responsibilities:

Roles and Responsibilities: -

Lead, design, and build highly scalable and robust data pipelines.· Build highly scalable data integrations with various external systems.

· Leverage Big Data and other Open-Source Technologies to build core data platform for the product.

· Collaborate with the application development and machine learning teams to build data services.

· Integrate with Cloud Services (AWS, Google, and Azure) in order to build native cloud solutions.

· Participate in the streaming, machine learning, visualization, and big data technologies to process billions of records in real-time, resulting in actionable intelligence that improves acquisition, conversion, and retention.

Must possess experience in Programming tools like Apache, Spark, Scala, Java, Java Spring, Web Services, Hibernate, JMX, Restful Web-services, JMS, Log4j, Groovy, Junit, Apache SOLR, Ant, Maven, Jira, Git Versioning.