Senior Data Engineer at Mama Money

As our Data Engineer you will:

• Assist in the design, development, deployment, and management of Mama Money's Data Lake and Data Warehouse solution on AWS.
• Collaborate closely with the DevOps, Development and Data teams, providing data solutions for our migration to microservices.
• Develop, construct, test, and maintain architectures.
• Build infrastructure to automate high volumes of data delivery and creatively solving data volume and scaling challenges.
• Contribute to the design and architecture of innovative solutions.
• Align architecture with business requirements.
• Engage in data acquisition and pipelining, including data extraction and transformation.
• Identify opportunities to improve data reliability, efficiency, and quality.
• Prepare data for predictive and prescriptive modelling.
• Use data to discover tasks that can be automated

In your first 90 days at Mama Money, you will:

• Familiarize yourself with our data architecture and understand the scope and impact of your role.
• Develop an understanding of our business model and operational strategies.
• Engage with key stakeholders and the data team to get a grasp on ongoing data projects.
• Begin contributing to the design and architecture of solutions.

About you:

• You have exposure to AWS infrastructure with Lambda, Glue, EC2 & EMR.
• You have 3+ years of experience in a Data Engineering role, building and optimizing data pipelines, architectures and datasets.
• You have constructed data acquisition, warehousing and reporting solutions.
• You have extensive SQL knowledge for building optimal data extracts, query optimization.
• You have Python experience, using it as the main programming language in our data infrastructure and building/maintaining/improving cloud solutions.
• You have exposure to Terraform as an Infrastructure as Code (IaC) tool.
• Experience in a Linux environment would be ideal.

It would be a bonus if you have experience with:

• Experience with Tableau.
• Exposure to version control systems.
• A degree in Computer Science or related field.
• Experience with dbt and AWS Athena.