Data Engineer I

Summary

Join Adaptiq's high-performance team as a Senior Big Data Engineer and work with cutting-edge technologies in a dynamic and agile environment. This role focuses on designing, developing, and maintaining robust distributed systems using GoLang, streaming and batching processes, and building data warehouses from scratch. You will collaborate with cross-functional teams, optimize scalable server systems, and leverage big data tools. Proficiency in various databases and experience with Kubernetes are essential. Adaptiq offers a remote working model, competitive compensation, vacation leave, and prioritizes professional growth and well-being.

Requirements

• At least 5 years of experience in Data Engineering domain
• At least 2 years of experience with GoLang
• Proficiency in SQL, NoSQL, Kafka/Pulsar , ELK, Redis and column store databases
• 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

Responsibilities

• Architect, develop, and maintain robust distributed systems with complex requirements, ensuring scalability and performance
• Work closely with cross-functional teams to ensure the seamless integration and functionality of software components
• Implement and optimize scalable server systems, utilizing parallel processing, microservices architecture, and security development principles
• Effectively utilize SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases in system design and development
• Leverage big data tools such as Spark or Flink to enhance system performance and scalability
• Demonstrate proficiency in Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications

Preferred Qualifications

• Experience in data cybersecurity domain
• Experience in startup growing product

Benefits

• 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