About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Born digital in 2014, Brillio applies its expertise in customer experience transformation, data analytics, Artificial Intelligence, platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
Brillio, renowned for its world-class professionals, referred to as "Brillians," distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Data Engineer
Primary Skills
- Data Warehousing, HDFS, Hive, Oozie, Spark - Pyspark, Spark - Scala, SQL, SQL (Basic + Advanced)
Secondary Skills
- Flink, Java, Kafka, Kubernetes
Specialization
- Big Data Engineering: Senior Data Engineer
Job requirements
- - Primary Skills o Java o Flink o Kafka and Database integrations o Kubernetes o Redis data structure and Integration - Roles and Responsibilities o Create new and maintain data pipelines using Flink. o Build Flink pipelines for distributed processing and handling of big data. o Build Flink pipelines with integrations with Redis, Oracle o Produce unit and system tests. o Participate in design discussions to improve existing frameworks. - Experience: o 5 years of programming experience o Flink real-time data streaming and batch processing experience o Experience in Flink Kubernetes Operator o Ability to dynamically adapt to conventional big-data frameworks and open-source tools based on project demands. o Deep knowledge of troubleshooting and tuning Streaming applications to achieve optimal performance. o Knowledge of design strategies for developing scalable resilient applications
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