Sr Data Engineer

Actively looking for W2 Candidates only Job Description 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.

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.