Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
About the Product
The product of our client stands at the forefront of advanced threat detection and response, pioneering innovative solutions to safeguard businesses against evolving cybersecurity risks. It is a comprehensive platform that streamlines security operations, empowering organizations to swiftly detect, prevent, and automate responses to advanced threats with unparalleled precision and efficiency.
About the Role
We are looking for a proactive, innovative, and responsible Senior Big Data Engineer with extensive knowledge and experience with streaming and batching processes, building DWH from scratch. Join our high-performance team to work with cutting-edge technologies in a dynamic and agile environment.
Key Responsibilities: * Design & Development: Architect, develop, and maintain robust distributed systems with complex requirements, ensuring scalability and performance. * Collaboration: Work closely with cross-functional teams to ensure the seamless integration and functionality of software components. * System Optimization: Implement and optimize scalable server systems, utilizing parallel processing, microservices architecture, and security development principles. * Database Management: Effectively utilize SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases in system design and development. * Big Data Tools: Leverage big data tools such as Spark or Flink to enhance system performance and scalability(experience with these tools is advantageous). * Deployment & Management: Demonstrate proficiency in Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications.
Required Competence and Skills: * At least 5 years of experience in Data Engineering domain * Proficiency in SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases * Experience building DWH from scratch and working with real-time data and streaming processes * Experience with GoLang (commercial\non-commercial) * Experienced with big data tools such as Spark or Flink to enhance system performance and scalability * Proven experience with Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications. * Ability to work effectively in a collaborative team environment * Excellent communication skills and a proactive approach to learning and development
Advantages: * Experience in data cybersecurity domain * Experience in startup growing product
Why Us
We utilize a remote working model, providing a powerful workstation and co-working space of your choice in case you need it .
We offer a highly competitive package
We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in)
We prioritize the professional growth and well-being of our team members. Hence, we organize various social events throughout the year to foster connections and promote wellness
