• US Citizen

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 21st Mar 2025

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.