Data Engineer
6 days ago
About The Metromax Group
">The Metromax Group is a global leader in the field of clinical research, dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. With a strong emphasis on integrity, agility, passion for excellence, collaborative partnerships, and intellectual curiosity, our company strives to be a trusted partner to clients who share our passion for improving public health.
We are seeking an experienced Data Engineer to join our team in Bangalore, India. This is an exciting opportunity to work on building and maintaining our data infrastructure on the AWS cloud platform, with a specific focus on supporting AI model training, development, and deployment.
Estimated Salary: ₹1,200,000 - ₹2,000,000 per annum
Job Description:
As a Senior Data Engineer for Artificial Intelligence, you will design, develop, and implement data pipelines specifically tailored for AI training and model development. You will partner with AI data scientists and engineers to understand their data needs and ensure efficient data access. Additionally, you will implement data pre-processing and feature engineering techniques for optimal model expertise.
Responsibilities:
- Design and implement data pipelines using AWS services such as S3, Redshift, Glue, Lambda, and Kinesis.
- Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access.
- Implement data pre-processing and feature engineering techniques for optimal model expertise.
- Design, develop, and maintain data infrastructure on the AWS cloud platform.
- Build and maintain data lakes and warehouses optimized for AI workloads.
- Implement automated data transformations, cleansing, and validation processes.
Requirements:
- 4-8 years of experience as a Data Engineer or similar role.
- Demonstrated experience in supporting data pipelines for AI applications and their data requirements.
- Strong experience with AWS services, including S3, Redshift, Glue, Lambda, and Kinesis.
- Strong experience with Python and SQL.
- Strong understanding of AI libraries and frameworks.
- Experience with data warehousing and data modeling concepts.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a collaborative team.
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