Apache Hadoop, AWS, Azure, Big Data Technology, Data Analytics, DevSecOps, Docker, Elasticsearch, Google Cloud Platform (GCP), IaaS, Infrastructure as code, Java Programming, MongoDB, NoSQL, PaaS, RDBMS, REDIS, SaaS, Scala Programming, Scrum Agile Methodology, Snowflake
We seek an experienced Data Platform Engineer to join our leads team. As a Data Platform Engineer, you will play a crucial role in managing data platform engineering and core toolsets, with a focus on Azure infrastructure as code. You will ensure our data infrastructure's reliability, scalability, and performance while contributing significantly to our data ecosystem and driving innovation within our organisation.
The opportunity is exciting for a seasoned data engineer or advanced analytics engineer interested in platform and infrastructure to shape our data infrastructure and drive innovation in a dynamic and collaborative environment. If you are a passionate engineer with expertise in Azure and infrastructure pipelines, we encourage you to apply and be a part of our dedicated global team of talented professionals, make a real impact on our Petcare data and analytics platform, and make a better world for pets.
What are we looking for?
Essential Requirements:
Nice to Haves:
Key Responsibilities:
Data Platform Engineering: Contribute to designing, developing, and maintaining our data platform and core toolsets on the Azure cloud. Ensure the platform is highly available, scalable, and performs optimally.
Data Tools and Frameworks Development: Contribute to developing and implementing data platform tools and frameworks on Azure to support the organisation's data needs. Collaborate with other teams to align data infrastructure with business objectives.
Collaborate and support platform users: Work alongside other data teams and business users to help understand their requirements of the platform and support in a third-line capability as and when needed.
Infrastructure as Code: Utilise Azure infrastructure as code practices to automate the provisioning and management of data platform resources. Ensure consistency, repeatability, and efficiency in infrastructure deployment.
Technology Evaluation: Stay up-to-date with emerging technologies and industry best practices in data engineering and Azure cloud services. Evaluate and recommend new tools and technologies to enhance the data platform's capabilities and efficiency.
What can you expect from Mars?
Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Mars proudly makes the treats, nutritious meals, & many of your favorite products for over 100 years. Learn why we're ready to become a part of your family. Alongside our consumer brands, we proudly take care of half of the world’s pets through our nutrition, health and services businesses.
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