Job Description We are seeking a skilled and analytical Data Engineer to join our team in Colombia. This role involves designing, implementing, and maintaining robust data infrastructure to support our organization's data-driven decision-making processes. - Key Responsibilities: - Design, develop, and maintain scalable data pipelines to extract, transform, and load data from various sources. - Collaborate with data scientists and analysts to understand data requirements and implement efficient data models. - Optimize data storage and retrieval systems to ensure high performance and reliability. - Implement and maintain data quality checks and monitoring systems. - Develop and maintain documentation for data processes and architectures. - Stay up-to-date with emerging technologies and best practices in data engineering. - Troubleshoot and resolve data-related issues in a timely manner. Requirements - Essential Qualifications: - 3+ years of experience in data engineering or a related field. - Proficiency in programming languages such as Python, Scala, and SQL. - Experience with big data frameworks like Apache Spark and Databricks. - Knowledge of cloud platforms and services, including Azure Data Factory and Azure Functions. - Understanding of data engineering concepts, including data pipelines, ETL/ELT design, batch and streaming data processing. - Skills in data storage and management, including Delta Tables and Azure Data Lake. - Ability to work with orchestration and integration tools like Azure Data Factory and Azure Functions. - Knowledge of workflow and automation tools, including CI/CD pipelines and version control. - Understanding of data modeling and warehousing concepts, including dimensional modeling and lakehouse architectures. - Experience with monitoring and optimization techniques, including performance tuning and job monitoring. Benefits - Competitive Package: - Competitive salary and share plan. - Referral bonus. - Career Development: - Career coaching. - Global career opportunities. - Non-linear career paths. - Internal development programs for management and technical leadership. - Learning Opportunities: - Complex projects. - Rotations. - Internal tech communities. - Training and certifications. - Coaching and online learning platforms subscriptions. - Pass-it-on sessions and workshops. Work Environment - Hybrid Work Model: - Flexible working hours. - Employee assistance program. - Global internal wellbeing program. - Access to wellbeing apps. - Global internal tech communities. - Hobby clubs and interest groups. - Inclusion and diversity programs. - Events and celebrations.