
Data Engineer
1 day ago
About the Role:
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure to support AI-driven applications. You will collaborate closely with data scientists, analysts, and software engineers to ensure high-quality, efficient data processing for advanced analytics and machine learning.
Key Responsibilities:
- Design and develop robust, scalable data pipelines for AI and ML projects.
- Build and optimize ETL processes for data ingestion, transformation, and storage.
- Ensure data quality, consistency, and security across platforms.
- Support data scientists with feature engineering and model deployment.
- Maintain data lakes, warehouses, and real-time streaming systems.
- Collaborate with DevOps and engineering teams to deploy pipelines in production.
- Monitor and improve system performance and reliability.
- Research and recommend new technologies for AI data infrastructure.
Qualifications:
- Bachelor's or Master's degree in Computer Science, IT, or related field.
- 2-3 years of experience in data engineering, big data, or cloud data solutions.
- Proficient in Python and SQL.
- Experience with AWS or Azure, and big data tools like Spark, Hadoop, Kafka.
- Knowledge of relational and NoSQL databases (e.g., MongoDB).
- Familiarity with data orchestration tools like Apache Airflow.
- Understanding of ML pipelines and MLOps practices.
- Strong analytical, problem-solving, and communication skills.
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