Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
About the role
- Data Engineer coordinating Divisional Analytics Teams to execute a comprehensive data strategy. Fostering collaboration and serving as a contact point for business stakeholdes while ensuring data assets delivery.
Responsibilities
- Acting as a concierge to the Divisional Analytics Teams (Dats)
- Using deep knowledge and understanding of business needs to define & execute a data strategy
- Coordinating the development & delivery of data assets
- Serving as a single point of contact for issues / escalations to business stakeholders
Requirements
- Bachelor degree and 8 years of data and analytics experience OR 12 years of data and analytics experience
- Experience in data processing environments
- Experience with Teradata & Hadoop
- Experience connecting business requirements to data mining objectives and measuring business benefit
- Knowledge of statistical modeling/predictive modeling/machine learning/data mining/optimization and big data concepts
- Analytical and quantitative problem-solving skills
- Experience with Data Warehouse development and data consumption
- Experience with Business Intelligence tools
- Knowledge of Application development platforms / languages
- Knowledge of DevOps / continuous deployment / integration process
- Ability to understand market needs and to translate business vision into data asset development
- Ability to execute strategic vision with tactical efficiency
- Experience interacting with corporate leadership
- Ability to manage demands from multiple stakeholders while optimizing resources
Benefits
- Health and wellness benefits
- 401(k) savings plan
- Pension plan
- Paid time off
- Paid parental leave
- Disability insurance
- Supplemental life insurance
- Employee assistance program
- Paid holidays
- Tuition reimbursement
- Other incentives
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