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.

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 relationship 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)

MUST HAVE:

Implementing experience of advance data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake)

Hands-on experience in Kubernetes and dealing with networking policies and configurations.

Configure enterprise data visualization tools (e.g., Qlik, Tableau, Power BI)

5+ years’ experience with SQL

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

Agile methodologies

NICE TO HAVE:

Git and DevOps tooling

Configuring and working with Kafka

Configuring and working with Kafka

Data masking and anonymization techniques

Modern and legacy data sources and structures

DBT or other modern data development tools

ADDITIONAL INFORMATION:

Career Growth – The Enterprise Data team is nascent and offers opportunity for growth depending on your drive and contribution.

Impact – The platform you build will be shaping the projects that sit on the executive committee agenda.

Benefits – Competitive salaries and comprehensive benefits and programs including health and welfare, tuition assistance, 401K, employee assistance program, domestic partnership benefits, career mobility, employee network groups, volunteer opportunities, and other programs.