Posted on: 02/04/2026
Description :
- Prepare and process large datasets for machine learning models
- Work closely with data scientists to deploy and optimize ML models
- Implement data workflows for training, validation, and inference
- Develop and maintain data lakes and data warehouses
- Ensure data quality, consistency, and security
- Optimize data processing systems for performance and scalability
- Integrate data from multiple sources (APIs, databases, streaming systems)
- Monitor and troubleshoot data pipelines and ML workflows
Required Skills & Qualifications :
- Hands-on experience with ETL tools (Airflow, Talend, Informatica, etc.)
- Experience with big data technologies (Apache Spark, Hadoop)
- Familiarity with cloud platforms (AWS / Azure / GCP)
- Hands-on experience with TensorFlow
- Understanding of data modeling and data warehousing concepts
- Experience in building data pipelines for ML workflows
- Knowledge of data preprocessing and feature engineering
Preferred Qualifications :
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Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1625614