Senior Data Engineer

Summary

Join MAS Global, a fast-growing tech company with a mission to create educational opportunities, as a Senior Data Engineer. This individual contributor role involves designing and developing strategic data pipelines using cutting-edge technologies. You will work in a diverse and fast-paced environment, collaborating with cross-functional teams. The ideal candidate possesses extensive experience in data engineering, specifically with AWS services and Python. This position offers the chance to contribute expertise to innovative solutions and grow professionally within a dynamic organization.

Requirements

• 6+ years’ experience in data engineering / developer or a similar field
• 2+ years as a Data Engineer working with AWS services, such as AWS Glue, EMR, Athena, and Lambdas
• Experience building, testing and enhancing data pipelines with structure and unstructured data coming from several data sources like blobs, buckets, files, APIs, streaming and DBs
• Experience working with infrastructure as code (IaC)
• Proficiency in Python
• Expertise with CI/CD tooling and practices

Responsibilities

• Write and optimize ELTs processes in python
• Interface with stakeholders and other capability team members to extract, transform, and load data from a wide variety of data sources
• Automate and orchestrate data pipelines
• Assess, develop, and deploy several data connectors to external data sources

Preferred Qualifications

• Experience working with Natural Language Processing (NLP)
• AI/ ML engineering exposure
• Experience working with Terraform
• Cloud-related data certifications (Data Engineer Associate, Data Engineer Pro, etc.)