Responsibilities

• Increase the efficiencies of the Cloud supply chain by working on optimization solutions.
• Build the infrastructure & code to process structured, semi-structured and unstructured data sources.
• Identify, design, and implement process improvements to optimize our data delivery, and re-designing infrastructure and pipelines to achieve greater scalability.
• Design, develop, and maintain data pipelines and back-end services for real-time decisioning, reporting, optimization, data collection, and related functions.
• Ensure that all features embody engineering best practices, elegant design, and high-quality implementation.
• Collaborate with stakeholders, including Product, Executive and Domain teams to support them on data-related issues and data infrastructure needs.
• Seek and incorporate continuous feedback to improve the efficiency of the business outcomes.
• Passion for utilizing the BI Stack to provide value and insights to the Cloud Sustainability business.

Preferred Qualifications:

• A successful history of developing and maintaining end-to-end, high-throughput data systems and their supporting services.
• 3+ years of software design and programming experience with languages like C/C++/C#/Java/Python/JavaScript required. 
• 3+ years of working knowledge on SQL and experience working with relational databases on T-SQL or PL/SQL constructs.
• 2+ years of experience developing Big Data applications in the cloud using technologies such as Kusto, Databricks, Spark, Azure Data Factory, Azure ML, Azure Synapse or equivalent.
• 2+ years of experience with data visualization tools like Power BI, Tableau or equivalent.
• A successful history of manipulating, processing, and extracting value from large datasets.
• A successful history of strong Analytical & Problem-Solving skill.
• Proficient working knowledge of cloud-computing environments in the Azure data stack. 
• Utilizing a variety of data stores, including data warehouses, relational database systems, in-memory caches, and searchable document databases.
• Developing for continuous integration and automated deployments.