Engineer

This is a remote position.

JOB DESCRIPTION:

• We are consolidating our analytics and access to our data sources by leveraging a hybrid Lakehouse architecture and building out the surrounding toolkit required to meet our user needs from across the enterprise.
  

• You will be joining our central data team at MMC Tech to help modernize our enterprise approach to data with a focus on enabling self-service capabilities.
  

• You will be integrating existing tooling and processes and moving us to the next level by identifying additional needs and suitable technologies.
  

• You will work closely with technical and business colleagues to design, build and support required functionality in compliance with our enterprise requirements.
  

RESPONSIBILITIES:

• Pushing us to adopt better practices.
  

• Building out a modern, controlled enterprise Lakehouse
  

• Integrating supporting technologies and governance processes into the methods for accessing data
  

• Integrating user-friendly interfaces with Lakehouse feeds
  

• Enabling data self-service
  

• Documenting architectures and processes for enterprise consumption
  

• Developing reusable data assets to enable our teams to function more efficiently and at higher levels.
  

Requirements

QUALIFICATIONS:

• Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake)
  

• Experience working with Kubernetes and dealing with networking policies and configurations.
  

• Experience working with and configuring enterprise data visualization tools (e.g., Qlik, Tableau, Power BI)
  

• Ability to effortlessly build rapport and maintain close working relationships with technical colleagues.
  

• 5+ years experience with SQL
  

• 5+ years experience writing Scala, Python, or Java
  

• You will be familiar with Git and DevOps tooling.
  

• You will be familiar with containerization and the surrounding ecosystem, including secrets management.
  

• Experience working with Agile methodologies.
  

ADDITIONAL QUALIFICATIONS:

• Experience configuring and working with Kafka.
  

• Experience working with data masking and anonymization techniques.
  

• Experience working across both modern and legacy data sources and structures.
  

• Experience working with DBT or other modern data development tools.
  

• Good understanding of Front/Backend development
  

• Exposure to Workflow and Decision automation (e.g., Camunda, Airflow)
  

Benefits