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CarWale - Senior Data Scientist - Kafka/Apache Spark (3-5 yrs)

3-5 years

CarWale - Senior Data Scientist - Kafka/Apache Spark (3-5 yrs)

Carwale

posted 1mon ago

Job Description

Key Responsibilities :


Data Engineering :


- Architect, develop, and maintain highly scalable and robust data pipelines using Apache Kafka, Apache Spark, and Apache Airflow..


- Design and optimize data storage solutions, including Amazon Redshift, S3, or comparable platforms, to support large-scale analytics..


- Ensure data quality, integrity, security, and compliance across all data platforms..


Data Science :


- Design, develop, and deploy sophisticated machine learning models to solve complex business challenges..


- Build and optimize end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment..


- Drive Generative AI initiatives, creating innovative products and solutions..


- Conduct in-depth analysis of large, complex datasets to generate actionable insights and recommendations..


- Work closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies..


Collaboration and Mentorship :


- Mentor and guide junior data scientists and data engineers, fostering a culture of continuous learning and professional growth..


- Contribute to the development of best practices in Data Science, Data Engineering, and Generative AI..


General :


- Write clean, efficient, and maintainable code in Python and at least one other language (e.g., C#, Go, or equivalent)..


- Participate in code reviews, ensuring adherence to best practices and coding standards..


- Stay abreast of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI..


- Document processes, models, and workflows to ensure knowledge sharing and reproducibility..


Qualifications :


Education :


- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field..


- Master's or Ph.D. in a relevant discipline is highly preferred..


Experience :


- 2+ years of hands-on experience in Data Science, Data Engineering, or related roles..


Functional Areas: Other

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