Company Name: VARITE India Private Limited

About The Client:

Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.

Essential Job Functions:
- Design, build, and maintain scalable data pipelines using AWS services such as Glue, Lambda, S3, EMR, and Step Functions.
- Develop and operationalize ML pipelines on AWS SageMaker, including data preprocessing, model training, deployment, and monitoring.
- Collaborate with data scientists to productionize machine learning models and ensure efficient integration into data pipelines.
- Implement data ingestion frameworks for structured and unstructured data from multiple sources (batch and streaming).
- Optimize data storage and query performance using AWS services like Redshift, Athena, and DynamoDB.
- Build reusable components for feature engineering, model versioning, and experiment tracking within SageMaker ecosystem.
- Ensure data quality, governance,



and security by implementing validation checks, encryption, and access controls.
- Use Python (PySpark/Pandas), SQL, and frameworks like Spark for large-scale data processing and analytics.
- Monitor and troubleshoot pipelines and ML workflows, ensuring high availability and performance reliability.
- Stay updated with AWS advancements and recommend improvements in data architecture, MLOps practices, and cost optimization.

Qualifications:
- Experience: 7-10 Years

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

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📌 Data Scientist (Hyderabad)
🏢 VARITE
📍 Hyderabad