Sr. Data Engineer

Contractor Position

Outline of the Role:

Principal Duties and Responsibilities:

Advanced Data Modeling: Build and optimize complex data models to meet the needs of business users, enhancing their ability to make informed decisions.

Data Analysis and Stakeholder Engagement: Utilize advanced analytical tools and frameworks to interpret and present data and models, effectively engaging and influencing stakeholders.

Reporting and Support: Provide ongoing support for daily reporting and data modeling tasks, ensuring timely and accurate delivery of information to support business decisions.

Production Support and Troubleshooting: Address and resolve production issues related to application functionality and integrations, particularly post-implementation, to ensure continuous system performance.

Continuous Improvement: Monitor system performance and user feedback to identify opportunities for improvement, and recommend enhancements to optimize business processes and system functionality.

Qualifications, Skills, Experience and Personal Requirements:

Experience: 6-9 years of experience with Oracle/SQL server (Required)

Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field. Advanced degrees or certifications in database management or related specialties are advantageous.

Exceptional Communication Skills: Demonstrated excellence in both oral and written communication, capable of effectively articulating technical concepts to diverse audiences.

Solid Experience with Modern Data Platforms: Hands-on experience with cloud-native solutions, DataBricks, and Snowflake for scalable data processing and machine learning operations.

Expertise in Scripting and Data Analysis: Strong proficiency in scripting for data analysis and automation, with a deep understanding of SQL and experience in Python for data operations.

Advanced Data Management Experience: Minimum of 3 years proven experience in designing, managing, and optimizing data warehouses and complex ETL workflows, preferably with experience in modern ETL tools and practices.

Analytical Acumen: Robust analytical skills to derive insights from data, support Business Analysts, and contribute to data-driven decision-making processes.

Problem-Solving Expertise: Advanced problem-solving abilities with a strong foundation in mathematical principles applicable to data modeling and machine learning.

Backend Development Skills: Experience in backend development, particularly with PL/SQL, and an openness to adopting new programming paradigms.

Cloud Proficiency: Strong working knowledge of cloud platforms such as AWS, Azure, and GCP, with a focus on leveraging cloud services for data solutions.

Big Data Expertise: Extensive experience with big data technologies and methodologies, skilled in handling large-scale data manipulation and analysis.

ML/Ops and DevOps Integration: Familiarity with modern operational practices including ML/Ops and DevOps, with a track record of improving pipeline efficiency and deployment.

Industry Experience: Retail industry experience preferred, with fashion retail experience highly desirable.

Data Architecture Insight: Knowledge of data architecture principles, especially in environments using Oracle Retail Management Systems or similar platforms, is a plus.

Additional Manager Comments:

Good awareness of culture/core values

Leads with courage, knowing the possibility of greatness is bigger than the fear of failure

Communicates with honesty and kindness, and creates the space for others to do the same

Possesses an entrepreneurial spirit and continuously innovates to achieve great results

Fosters connection by putting people first and building trusting relationships

Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously

Required Skills: Oracle

Basic Qualification:

Additional Skills:

This is a high PRIORITY requisition.