
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.
🔥 3 minutes ago
Where this job comes from
Posted on Globaldev Group's careers page ↗, not through a job board
First seen by Remote Rocketship 3 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.
• Manage and improve pipelines for cleansing, filtering, and structuring raw datasets for company and customer analysis. • Implement QA procedures to proactively identify data anomalies and issues. • Implement new products and features created by analyst teams using best practices. • Collaborate with team members and internal stakeholders on infrastructure projects, documentation, QA, and code reviews. • Build and manage Repos. • Standardize code and automate production pipelines. • Create and contribute to frameworks that improve logging data efficacy; work with infrastructure to triage and resolve issues. • Mentor team members through actionable feedback. • Build datasets supporting analytics, experimentation, and machine learning. • Establish scalable pipelining standards, including common operators and workflows/DAGs, and optimize existing products. • Partner with upstream engineering teams and downstream consumers, including analysts and product engineers, while working with petabytes of data daily.
• 3-7 years of experience as a data engineer. • Preference given to those that have worked in a similar type role within a data intelligence company or within the desired verticals including consumer retail & brands, digital media and technology. • Expertise in data engineering in a cloud environment (Python, Databricks, AWS, Airflow, Snowflake, SQL). • SQL & Python required. • Working knowledge of PySpark and distributed computing. • Strong people and management skills to interact with product managers and data analysts. • Familiarity with software development methods such as Scrum and TDD. • General project management skills. • Ability to clearly articulate project plans, technical requirements, methodologies, and takeaways to both technical and non-technical stakeholders. • Bachelor’s or higher degree, or significant experience in Statistics, Mathematics, Computer Science, or a similar quantitative discipline. • Ability to thrive in a culture of quality and personal accountability.
• 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.
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