Data Specialist

Key Skills

Analytical and Problem solving, Apache Flink, Apache Hadoop, Apache Kafka, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Design, DevOps, Docker, Effective communication skills, Java Programming, Oracle, PySpark, SPARK Programming

Job Description

About Brillio:

Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place to Work’ in 2021 and 2022

Data Specialist

Primary Skills

Spark - Pyspark

Secondary Skills

Docker, Flink, Kafka, Kubernetes

Specialization

Big Data Engineering: Data Specialist

Job requirements

Must have Hands on Experience on Kubernetes , Docker, Microservices, any one of Kafka/spark/pulsar/flink, CI/CD and Java. Job Responsibilities: As the Data Engineer, you are expected to engineer, develop, support, and deliver real-time streaming applications that model real-world network entities, and have a good understanding of the Telecom Network KPIs to improve the customer experience through automation of operational network data. Real-time application development will include building stateful in-memory backends, real-time streaming APIs , leveraging real-time databases such as Apache Druid. • Developing streaming data pipelines that will enrich the data and support the use cases for telecom networks • Collaborating closely with multiple stakeholders, gathering requirements and seeking iterative feedback on recently delivered application features. • Participating in peer review sessions to provide teammates with code review as well as architectural and design feedback. • Composing detailed low-level design documentation, call flows, and architecture diagrams for the solutions you build. • Perform duties with minimum supervision and participate in cross-functional projects as scheduled. Skills: • Experience with Java, K8S, Flink/Spark, Argo CD/Workflow, Prometheus, and Aether. • Familiarity with object-oriented design patterns. • Experience with Application Development DevOps Tools. • Experience with distributed cloud-native application design deployed on Kubernetes platforms. • Experience with PostGres, Druid, and Oracle databases. • Experience with Messaging Bus - Kafka/Pulsar • Experience with building real-time applications which leverage streaming data. • Experience with streaming message bus platforming, either Kafka or Pulsar. • Experience with Apache Spark applications and Hadoop platforms. • Strong problem solving skills. • Strong written and oral communication skills.