We are looking for a Data Engineer II, who can demonstrate the following traits:
- A team player who is self-starter, customer obsessed, highly inquisitive and biased towards action.
- Comfortable with cold start problems, thrive in ambiguity with an eye for detail.
- Delivers results through innovation and persistence.
- Demonstrates a product mindset and looks to deliver re-usable components that can be deployed as-is or into existing pipelines.
- Have a flair for Artificial Intelligence/Machine Learning technology.
Responsibilities
- Increase the efficiencies of the Cloud supply chain by inventing optimization solutions by orders of magnitude.
- 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.
- Ensure that all features embody engineering best practices, efficient, scalable architecture, 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.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science, Data Science, Mathematics or equivalent field
- OR Master's Degree in Computer Science, Data Science, Mathematics or equivalent
- 4+ years of software design and programming experience with languages like C/C++/C#/Java/Python/JavaScript required.
- 4+ years of working knowledge on SQL and experience working with relational databases on T-SQL or PL/SQL constructs.
- 4+ 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
