Data Engineer

Job Responsibilities

• Working in a hands-on fashion with Big Data tools such as Kafka, Cassandra, Spark, Hadoop, Time Series Databases such as InfluxDB, KairosDB, TimescaleDB;
• Development of technical solutions and implement architectures for project and products across data engineering and data science teams;
• Working with your team and others, defining the architecture, design, and management of secure, large-scale, highly distributed, geo-redundant, multi-tenant data stores;
• Recommending and setting up appropriate performance monitoring solutions;
• Working directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems;
• Developing and executing agile work plans for iterative and incremental project delivery, CI and dev/ops; and
• Mentoring engineers on best practice

Experience Required

• Minimum of a Bachelor’s Degree in Computer Science or Software Engineering
• Experience preparing big data infrastructures, integrating data from disparate systems, and managing these systems;
• Previous experience in the software industry as a Data Engineer or similar;
• Ability to specify and write code that is accessible, secure, and performs in an optimized manner with an ability to output to different types of consumers and systems;
• Excellent communication (verbal, presentation, documentation) skills, working with teams that are geographically dispersed, to produce solutions that satisfy functional and non-functional requirements; and
• Experience with Agile development methodologies and concepts.