Position summary
Are you interested in serving as an integral part of our marketing team developing new tools and capabilities that will continue to advance Lumen s reputation as a technology leader?
In this role, you will be taking the lead in partnering closely with marketing, operations, and data science teams to utilize terabytes of data and translate them into actionable insights to create a competitive advantage for marketing/sales initiatives to win market share. Furthermore, you will be accountable for building and operationalizing critical components and tools to ensure the data coming in and going out are of the highest data quality and integrity. In the end state, the data solutions built and operated by you would rival the absolute best in the industry in engineering, operations, and usability excellence.
You are a great fit for this position if you:
- Have strong passion in building reliable, accurate datasets that power end-to-end user scenarios and used in business decisions.
- Highly believe that data is an asset that must be accessible to and applicable by every function in a modern business to guide and assess growth investments.
- Are passionate about Data Engineering and believe that it is one of a kind emerging discipline and career path that you want to grow in.
- Enjoy building and operating data services at terabyte and higher scales to enable data driven organizations.
Qualifications:
- Experience building data models and performing complex queries using SQL
- Experience performance tuning large datasets
- Experience building large data pipelines and/or web services
- Strong programming skills with Python and other scripting languages
- 8+ years of Business Intelligence or software development experience using industry technologies
- 4+ years of experience in building integration with upstream and downstream systems with REST APIs
- Excellent problem solving, critical thinking, and communication skills
- Ability to communicate effectively with technical and business teams, drive issues to closure
- Strong understanding of data engineering and data stewardship roles in an organization
- Ability to foster an innovative and inclusive team-oriented work environment. You ll play an active role in counselling and mentoring junior team members across the organization by providing structured and on-the-job feedback.
- Ability to work on multiple priorities that span different areas of focus. You should feel comfortable talking to business stakeholders, analysts, data scientists and developers.
- An entrepreneurial spirit who is excited by ambiguity, operates autonomously and can make informed decisions on the fly, grounded in a digital transformation point of view for marketing/sales initiatives.
- BA/BS in Computer Science, Engineering or related technical field such as Statistics or Data Science
Other Qualifications:
- Strong familiarity with Azure/Fabric ecosystem is highly valuable
- Cloud architecture:
- Production level experience migrating and deploying Azure cloud-based solutions.
- Proficiency architecting, implementing, and supporting Microsoft Azure infrastructure and topologies.
- Project experience architecting, implementing, and optimizing core infrastructure, networking and cloud-based services for business teams or consumers.
- Experience configuring and tuning cloud hosted solutions and platforms.
- Experience with performance analysis, troubleshooting and remediation techniques
- Knowledge of Lumen data, systems and processes including paid media, financial and inventory systems highly desirable
- Experience with ETL and data integration development using multiple tools, including Informatica, Microsoft SSIS or other technologies
- Experience with cloud data platforms is helpful
- Combined IT and Marketing background
- Machine Learning, Data Science, and statistical modeling experience are highly valued
"We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately."