Position: Data & Analytics Developer (EdTech sphere)
Company: Coherent Solutions
Category: SQL
Experience required: 3y
English level: intermediate

Project Description
You will be responsible for design, implementation and support of our new event-driven Data Strategy. This individual is expected to utilize their design and development skills using the following key technologies: Kafka, KSQL, Kafka Streams, Kafka Connect, KSQL, KsqlDB, AWS managed Kafka service – MKS. We expect an individual in this role to show full proficiency in all of these technologies.


Job Requirements
5+ years of experience with Apache Kafka;
3 + years of experience with Kafka Streams;
AT least 1 year of hands-on experience with KsqlDB;
2 + years of experience with Kafka Connect;
2 + years of experience with KSQL;
At least 1 year of experience implementing Change Data Capture with Postgres;
At least 1 year of experience with AWS managed Kafka service — MKS;
A history of good collaboration with Data Engineers, QA Engineers, Release Engineers;
Proven track record working with products from major cloud providers (AWS, GCP, Azure, etc.);
Excellent English written, verbal and interpersonal communication skills;
Experience working in JIRA and Confluence;
Experience working in Agile/Scrum;
Strong verbal English;
 

Responsibilities
Help design an event-driven data platform utilizing full complement of Apache Kafka toolset;
Lead an effort of implementing data integrations between KsqlDB, Postgres DB and MongoDB;
Lead design and implementation of a Change Data Capture (CDC) capabilities spanning across Postgres, MongoDB and KsqlDB;
Design and implement a set of reference architectures and common design patterns, which will be utilized by Python, .NET, Node.js and Java microservices;
Help implement common Schema Registry features based on Confluent toolset & KsqlDB;
Help design and implement consistent schema serialization and enforcement via Protobufs and AVRO;
Collaborate closely with RedShelf Architects and Senior Engineers to build a well-understood, highly-performant event-driven Data Platform;