Senior Data Engineer - Python

Description

We are looking for an experienced Senior Data Engineer with a strong background in Python and modern data engineering tools to join our team in West Des Moines, Iowa. This is a long-term contract position that requires expertise in designing, building, and optimizing data pipelines and working with cloud-based data warehouses. If you thrive in a collaborative environment and have a passion for transforming raw data into actionable insights, we encourage you to apply.

Responsibilities:
Develop, debug, and optimize Python-based data pipelines using frameworks such as Flask, Django, or FastAPI.
Design and implement data transformations in a data warehouse using tools like dbt, ensuring high-quality analytics-ready datasets.
Utilize Amazon Redshift and Snowflake for managing large-scale data storage and performing advanced querying and optimization.
Automate data integration processes using platforms like Fivetran and orchestration tools such as Prefect or Airflow.
Build reusable and maintainable data models to improve performance and scalability for analytics and reporting.
Conduct data analysis and visualization leveraging Python libraries such as NumPy, Pandas, TensorFlow, and PyTorch.
Manage version control for data engineering projects using Git and GitHub.
Ensure data quality through automated testing and validation processes.
Document workflows, code, and data transformations following best practices for readability and maintainability.
Optimize cloud-based data warehouse and lake platforms for performance and integration of new data sources.

Requirements

Minimum of 5 years of experience in data engineering, with a focus on Python.
Proficiency in SQL for complex querying, database design, and optimization.
Hands-on experience with cloud-based data platforms such as Amazon Redshift, Snowflake, and Google Cloud.
Expertise in ETL processes and tools, including Fivetran and dbt.
Familiarity with Python libraries for data analysis, machine learning, and visualization.
Strong knowledge of version control systems like Git and GitHub.
Ability to automate workflows using orchestration tools such as Prefect or Airflow.
Excellent problem-solving skills and attention to detail in debugging and optimizing data processes.

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