
201 - 500 employees
Founded 12 years
💼 Consulting
📦 Logistics
☁️ SaaS
Consulting • Logistics • SaaS
Globaldev Group is an international company that specializes in providing IT outsourcing and software development services. They focus on assisting businesses in building and managing their engineering teams, offering expertise in various modern technologies and development practices to ensure efficient and effective project delivery.
🔥 14 minutes ago
Where this job comes from
Posted on Globaldev Group's careers page ↗, not through a job board
First seen by Remote Rocketship 14 minutes ago

201 - 500 employees
Founded 12 years
💼 Consulting
📦 Logistics
☁️ SaaS
Consulting • Logistics • SaaS
Globaldev Group is an international company that specializes in providing IT outsourcing and software development services. They focus on assisting businesses in building and managing their engineering teams, offering expertise in various modern technologies and development practices to ensure efficient and effective project delivery.
• Design, build, and maintain scalable ETL/ELT pipelines processing petabytes of data • Architect data solutions using AWS, Databricks, and Snowflake • Implement real-time and batch processing workflows using Apache Airflow • Optimize data storage and retrieval patterns for analytical workloads • Implement data quality frameworks and monitoring systems • Establish data governance standards and best practices • Build automated testing and validation for data pipelines • Develop data lineage and metadata management solutions • Lead technical design reviews and architecture decisions • Mentor junior data engineers and promote best practices • Drive CI/CD adoption for data pipelines • Leverage Cursor, Claude, and GitHub Copilot to accelerate development • Implement AI-driven data quality checks and anomaly detection • Stay current with emerging AI tools and their applications in data engineering • Work with petabytes of data to create scalable data infrastructure and pipelines for M Science, a data-driven research and analytics firm serving financial institutions and corporations
• 3-8 years of data engineering experience • Expert-level SQL: complex queries, performance optimization, window functions • Advanced Python: object-oriented programming, async/await, data processing libraries • Apache Airflow: DAG development, custom operators, workflow orchestration • Databricks: Spark optimization, Delta Lake, Unity Catalog governance • AWS (S3, EMR, Lambda, Glue) or equivalent cloud platform • Data modeling: dimensional modeling, data vault, modern data stack patterns • Experience mentoring junior engineers and leading technical initiatives • Strong communication skills for cross-functional collaboration • Experience with Agile methodologies and project management • Ability to translate business requirements into technical solutions
• 20 days of vacation • Public holidays • Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues) • The exchange of experience and work with talented colleagues • Valuable compensation for your efforts
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🔥 4 hours ago
Data Engineer building Lyft Marketplace pipelines for financial, pricing, and driver metrics. Designing resilient data models and ETL systems with Analytics, Data Science, and Engineering teams.
🕒 2 days ago
Senior Data Engineer modernizing scalable data pipelines and analytics infrastructure. Building cybersecurity systems that detect automated attacks and malicious traffic.
🕒 November 4
Data Engineer building scalable ETL/ELT pipelines and cloud data architectures for TENTENS Tech’s global social discovery platforms. Ensuring data quality, observability, and actionable product metrics.
🗣️🇺🇦 Ukrainian Required
🕒 October 12
Data Engineer building scalable Azure data platforms and pipelines for analytics, reporting, and data-driven decisions. Developing Spark workflows and reliable processing across multiple teams.
🕒 October 12
Senior Data Engineer migrating enterprise retail analytics platforms from BigQuery to Databricks. Building scalable Lakehouse architectures, Spark pipelines, and governed data solutions at Sigma Software.