Sr. Streaming Developer (Flink, Kafka, Java, Remote)

VTRAC Consulting Corporation Intelligent Solutions Thank you for applying to VTRAC opportunities . Please e-mail your resume as a MS-WORD document in confidence Subject: Sr. Streaming Developer (Flink, Kafka, Java, Remote), Attention : roseg@vtrac.com or call: (650) 384 0505. Position#: 24152 Position: Sr. Streaming Developer (Flink, Kafka, Java, Remote) Position Type: Contract (6-12 month extendable) No. of Positions: 2 Location: Canada (Remote) Organization

• As a Senior Streaming Developer working with VTRAC Consulting, you will join a dynamic team dedicated to designing and developing high-performance data solutions that support various client projects remotely. Your expertise in streaming data platforms will empower data scientists, quants, and traders to derive actionable insights from complex data sets.

• Design and build a scalable, low-latency, and fault-tolerant streaming data platform that empowers users to extract meaningful and timely insights.
• Develop next generation Distributed Streaming Data Pipelines and Analytics Data Stores using frameworks like Flink, Spark Streaming, and others.
• Construct platforms that facilitate the gathering, collection, storage, real-time processing, and serving of data to end users and decision-making systems.
• Drive the adoption of the Big Data Analytics platform as part of the larger data strategy.
• Stay updated with emerging data management technologies, industry trends, and best practices.
• Conduct peer reviews of other developers’ technical work.
• Utilize analytical skills to filter, prioritize, and validate complex, technical, or business information from multiple sources.
• Identify ways to improve data reliability, efficiency, and quality.

• Minimum 6 years in application or data development.
• Minimum 3 years of Java development.
• Minimum 2 years of experience with Apache Kafka.
• Minimum 1-2 years of effective use of Apache Flink.
• Minimum 2 years of experience in streaming technologies.
• Hands-on production experience with distributed stream processing frameworks such as Kafka, Spark Streaming, and Storm.
• Experience with deployment platforms like Kubernetes
• Proven capability in building robust, fault-tolerant data pipelines that process unorganized and messy data into organized databases or data sources.
• Solid design and development background with an understanding of micro-services and distributed architectures.
• Proficiency with relational databases (SQL Server, Oracle, DB2, Sybase) and non-relational databases (Cassandra, MongoDB).
• Practical experience in performance tuning and optimization, bottleneck problem analysis.
• Excellent communication skills for interfacing with trading and sales functions.
• Working knowledge of Java and/or Python.
• Understanding of enterprise integration patterns.

• Apache Flink
• Apache Kafka
• Java (Candidates with .NET experience considered if they have significant Flink and Kafka experience)

• Scala
• Experience with collaboration tools such as JIRA and Bitbucket.
• Familiarity with AWS Security, API Gateway.
• Background in application or data architecture.