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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement data science and analytics solutions using Python, PySpark, and SQL, focusing on large datasets.
Build and optimize scalable ETL and data processing pipelines across cloud platforms (Azure, AWS, GCP).
Design and deploy cloud data solutions and implement CI/CD pipelines in collaboration with engineering and business teams.
Minimum Requirements
Strong hands-on experience with Python, PySpark, SQL, and data science techniques.
Experience in developing and maintaining ETL/data integration pipelines.
Hands-on experience with Azure/Microsoft data services and cloud data platforms (AWS, Azure, or GCP).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in cloud-based data engineering and analytics with practical knowledge of multiple cloud platforms.
Able to deliver end-to-end data solutions integrating feature engineering, statistical analysis, and performance optimization.
Comfortable working with CI/CD pipelines and collaborating across technical and business teams for reliable data delivery.