Company:
A full-service brand experience agency that manages the entire process, from design to distribution, all in one place.Work hours: 10:00 – 19:00
About Us:
A creative partner dedicated to elevating companies’ brands through engaging brand experiences (apparel, merch, print & more).
Job Summary:
We are seeking a skilled and seasoned Senior Data/Backend Engineer to join our team. As a Senior Data/Backend Engineer, you will play a key role in designing, developing, maintaining, and optimizing our data infrastructure and backend systems. The ideal candidate will have a strong foundation in database architecture, query languages, API development, and data processing, while ensuring performance, scalability, and security.
Responsibilities:
● Design, develop, and maintain scalable and efficient backend systems to support web applications and data processing.● Build and optimize relational and non-relational databases for performance, reliability, and scalability.● Develop RESTful APIs and data pipelines to enable seamless integration between services and third-party systems.● Ensure data integrity, security, and compliance with best practices and industry standards.● Optimize database queries and backend logic for high-performance applications.● Collaborate with product managers, developers, and analysts to define and implement data-driven solutions.● Develop and maintain ETL processes to collect, transform, and analyze data for business intelligence and analytics.● Write and maintain clear and concise documentation.● Implement and enforce logging, monitoring, and alerting solutions for system reliability.● Monitor database health and proactively address potential issues.● Stay updated on emerging technologies and best practices to enhance backend and data infrastructure.
Requirements:
● Minimum of 5 years of experience as a Backend Engineer, Data Engineer, or similar role, with at least 2 years in a senior capacity.● Strong understanding of database concepts and principles.● Proficiency in backend development using languages such as Python, Node.js, Java, or Go.● Strong experience with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, or DynamoDB).● Experience with data modeling and database design.● Experience designing, implementing, and optimizing RESTful APIs.● Experience with GraphQL API development.● Hands-on experience with data processing, ETL pipelines, and working with large datasets.● Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-native databases.● Knowledge of containerization and orchestration tools such as Docker and Kubernetes.● Experience implementing security best practices for data protection and access control.● Strong problem-solving & analytical skills, and ability to work remotely independently or in collaboration with cross-functional teams. ● Strong communication skills in English, both written and verbal.
Bonus skills and qualifications:
● Experience with real-time data processing frameworks.● Familiarity with infrastructure as code.● Experience with data warehousing.● Understanding of serverless architectures and event-driven design.● Proven experience with Elasticsearch, including indexing, searching, and cluster management.● Knowledge of data governance, compliance standards, and GDPR best practices.● Background in analytics, business intelligence, or machine learning integrations.
Benefits:
● Strong engineering team with an English speaking environment and challenging tasks.● Professional growth opportunities.● Competitive salary level (contract, gross).● Remote job / work from home.● High-end corporate laptop.
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Igor Glynianyihcet.srelliks%40rogi