Senior Scala/Data engineer IRC226922

Small Teams; Big Data
We look for individuals who are motivated by complex and challenging work. We want to work with people who share compelling solutions to those challenges, solutions informed by their unique experiences, passions, and expertise. We plan to build a Data Platform on top of AWS Ecosystem to port-over some of EMS Legacy applications. We plan to use Scala to build microservices that will provide self-onboarding functionality to our customer and internal users. We, furthermore, plan to build data pipelines on Spark (Scala) and other open-source technologies with the goal of having robust/scalable and resilient data services. The platform will have several User Interfaces built on top of Angular and Typescript to connect the pipelines and services together and provide a optimized user experience. The application/pipelines and microservices we build will run on top of managed Kubernetes.
We’re open-minded about new technologies, we’re passionate about what we do, and we make time for everyone to learn and grow as the industry changes. Engineers on the team are approachable and ambitious people who think outside the box and together solve big problems. Are you up for the challenge?
We are looking to build multiple value stream teams composed of Front-End/Back-end Software/Data and Infrastructure engineering. We need people that can work hands-on as engineers solving complex problems and building advance software solutions. We face daily challenges that are both unique and engaging, while processing data at petabyte scale. That is over one trillion data points in multiple different data periods. We have consumer privacy and data security at the forefront of all that we do. Our size also allows us to use cutting edge, open-source technologies to tackle the ever-growing challenges.


Responsibilities:
•  Work on the intersection of both data and software engineering.
  •  Utilize your expertise in Scala to design, develop, and maintain software features and functionalities for the Standalone Activations Audience Delivery Products.
  •  Implement data processing pipelines using Apache Beam and Bigquery to efficiently process and transform data across various channels and destinations.
  •  Configure and manage workflows using Airflow to orchestrate complex data processing tasks and ensure smooth operation of the system.
  •  Collaborate with cross-functional teams to drive architectural design discussions and implement scalable, maintainable solutions.
  •  Foster a culture of excellence and teamwork, promoting values such as collaboration, accountability, and continuous improvement.
  •  Participate in code reviews, debugging, and troubleshooting to ensure high-quality, reliable software solutions.
  •  Stay updated on industry trends, emerging technologies, and best practices related to Scala, BigQuery, Apache Beam, and Airflow.

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