Job description
Market forces are dramatically reshaping supply chains, forcing drastic changes in trading behaviors between manufacturers, distributors and retailers. Many key business decisions are being made without a single source of truth to back them up, resulting in struggles to keep up with consumer expectations and increased disputes between partners.
At Enable, we believe in removing barriers between trading partners to create a healthier supply chain — and there’s no better way to do this than with rebates. Rebates drive partner behaviors, while increasing loyalty and trust. They help businesses and their trading partners better understand their data, boost their financial performance, mitigate risks, and drive efficiency and trust. When trading partners can make the best decisions for their businesses, everyone wins: manufacturers, distributors, retailers and, most importantly, end consumers.
That’s the core of what we’re doing at Enable: creating a healthy, vibrant supply chain ecosystem where partner collaboration drives the best products, services and values to customers.
This is an exciting role that will be contributing to the development and operations of the Data Platform to drive maximum value from data for business users and in line with company best practices. You will work as part of a cross-functional agile delivery team, including front and back-end engineers, customer support, product managers and infrastructure.
Accountabilities:
- Work as part of the Data Engineering team to uphold and evolve common standards and best practices, collaborate to ensure that our data solutions are complementary and not duplicative.
- Build and maintain high-performance, fault-tolerant, secure, and scalable data platform to support multiple data solutions use cases.
- Interface with other technology teams to design and implement robust products, services and capabilities for the data platform making use of infrastructure as code and automation.
- Build and support platforms to enable our engineers to build our cloud based big data platform.
- Design, build, and maintain scalable data pipelines on Azure using technologies such as Azure Data Factory
- Help to engineer our platform ingestion, data warehouse/data lake and API strategies for our data management ecosystem
- Work with large, complex datasets and integrate data from multiple sources
- Work with our DevOps team to provide high availability data solutions that scale geographically
Required Experience:
- Experience working with Cloud architecture/administration in production environments.
- Experience with object oriented and functional design, coding, and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures.
- Experience writing production quality code in C#/Python/Bash/Powershell/Go, etc
- Experience of building and maintaining distributed platforms to handle high volume of data.
- Good platform-level design, architecture, implementation and troubleshooting skills.
- Experience with MS SQL
- Good understanding of Enterprise patterns and best practices applied to data engineering and data science use cases at scale.
- Good understanding of cloud storage and orchestration, and computing platforms (especially document/blob stores, GraphDB Kafka, Airflow, Elastic, Spark ).
- Good understanding of DevOps/DataOps in an Agile Environment, familiarity with Jira and Confluence.
- Experience of Docker/Kubernetes would be beneficial.
- Expertise in Databases (Postgres, MySQL, etc)
- Understanding network and security concepts on cloud-based environments, specifically on cloud services such as VPCs, Security Groups, NACLs and IAM roles.
- Good understanding of CI/CD using tools like Jenkins/CircleCI/Azure Data Pipelines, along with deep experience in source control like Git.
Competencies:
- Great problem-solving skills, and the ability and confidence to hack their way out of tight corners.
- Ability to prioritise and meet deadlines.
- Conscientious, self-motivated, and goal orientated.
- Excellent attention to detail and solid written and verbal English communication skills
- Willingness and an enthusiastic attitude to work within existing processes / methodologies
Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
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About Enable International
CEO: Andrew Butt
Revenue: Unknown / Non-Applicable
Size: 201 to 500 Employees
Type: Company - Private
Website: www.enable.com
Year Founded: 2016