Senior Data Engineer

October 20

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Logo of Lean Tech

Lean Tech

Development • Logistics • Automation • Software • Education

501 - 1000

Description

• Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. • Joining our team means engaging with expansive engineering teams across Latin America and the United States. • Contributing to cutting-edge developments in multiple industries. • We are seeking an experienced Data Engineer to join our dynamic team. • The ideal candidate will have a strong background in designing and implementing data pipelines, working with big data technologies, and leveraging AWS services for data processing, storage, analytics, and messaging. • Experience with microservices architecture is essential for this role. • Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field • Minimum 5 years of experience in data engineering, with a focus on AWS and .NET technologies • Advanced proficiency in .NET development (version 6 and above) and Entity Framework Core • Extensive experience with AWS data services, including RDS, Glue, EMR, Redshift, Athena, S3, SNS, SQS, and DMS • Advanced skills in managing and optimizing PostgreSQL databases within AWS RDS, including performance tuning and query optimization • Expertise in designing and implementing microservices architectures, particularly for data-intensive applications • Proficiency in developing robust and scalable APIs using .NET and working with API gateways • Experience with event-driven architectures and message queuing systems, especially SNS and SQS • Strong knowledge of data modeling and designing efficient schemas for various data stores • Intermediate proficiency with Git and CI/CD practices for data workflows • Knowledge of data governance, security, and compliance best practices, particularly with AWS services • Strong skills in problem-solving and optimizing complex data workflows • Strong communication skills to effectively translate technical concepts to non-technical stakeholders • Experience with container technologies such as Docker and orchestration platforms like Kubernetes is beneficial.

Benefits

• Professional development opportunities with international customers • Collaborative work environment • Career path and mentorship programs that will lead to new levels.

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