Senior Data Engineer for Cloud Data Pipelines
5 days ago
Job Description:
">We are seeking an experienced Data Engineer to design, develop and maintain cloud-based data pipelines using Python. The ideal candidate will have a strong background in computer science, extensive experience in data engineering and proficiency in tools like FastAPI, Pydantic, SQLAlchemy, Airflow, Snowflake, Apache Spark, ETL, and ELT.
">- Main Responsibilities:
- Design and implement robust data workflows using cloud-based technologies.
- Develop and maintain APIs using FastAPI and Pydantic models.
- Work with databases using SQLAlchemy and ORM.
- Implement data processing workflows using Apache Airflow.
- Manage and optimize data storage and retrieval using Snowflake.
- Utilize Apache Spark for large-scale data processing.
- Perform ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) operations to ensure data integrity and accessibility.
- Analyze data to provide actionable insights and support decision-making processes.
Requirements:
">- The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Must Have 10+ years of IT experience with 8+ years of experience in Data Engineering.
- In-depth knowledge and min 4+ yrs. of experience in Amazon RDS-Aurora PostgreSQL and advanced Python knowledge.
- You should have experience working with Agile and cloud services, SQL/NoSQL databases, and Docker/Kubernetes.
- Should know about Integration development using AWS/any other cloud technologies.
- Extensive knowledge of task creation, such as scheduled tasks, triggered tasks, etc., is required.
- Should have Pipeline monitoring and troubleshooting experience.
- Must have good written and verbal communication skills.
Estimated Salary Range: $120,000 - $180,000 per year based on the location (Las Vegas, NV). This range may vary based on individual qualifications and experience.
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