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Job Description

Description :


We are looking for a skilled Data Engineer with experience in machine learning frameworks like TensorFlow. The ideal candidate will be responsible for building scalable data pipelines, preparing data for ML models, and supporting end-to-end data-driven solutions.

Key Responsibilities :


- Design, build, and maintain scalable data pipelines (ETL/ELT)

- 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 :


- Strong proficiency in SQL and Python

- 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 :


- Knowledge of ML lifecycle and MLOps concepts


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