Senior Data Engineer for Cloud Data Pipelines

5 days ago


Las Vegas, Nevada, United States Petadata Full time

Job Description:

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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.

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  • 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:

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  • 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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