Data Engineer
Role Overview
The Data Engineer builds reliable data platforms supporting enterprise analytics, AI, and reporting.
The role seeks 5+ years of experience in data engineering or a related field.
Key Skills for This Role
Full Job Posting
Job Summary
The Data Engineer builds reliable data platforms supporting enterprise analytics, AI, and reporting.
The role seeks 5+ years of experience in data engineering or a related field.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build data integration and transformation solutions using cloud technologies.
- Develop data models, data warehouses, and real-time data processing solutions.
- Implement data quality, validation, security, and performance optimization practices.
- Support AI/ML and analytics workloads and collaborate with Data Scientists and business teams.
- Implement CI/CD and MLOps practices for automated and reliable data deployments.
Key Skills
- Databricks, Azure Data Factory, and Azure Data Lake.
- PySpark, Python, SQL, and Delta Lake.
- Kafka and real-time data processing.
- ETL/ELT, data modeling, and data warehousing.
- Data quality and performance optimization.
- CI/CD, MLOps, and cloud data engineering.
Education and Experience
- At least 5 years of experience in data engineering or a related field.
- Bachelor’s or master’s degree in Computer Science, Engineering, Data Engineering, or a related field.
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