Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in API Integration, Python, and AWS. The ideal candidate will have a passion for data engineering and a proven track record of developing robust data pipelines and platforms.

Key Responsibilities:

Develop and maintain ETL/ELT data pipelines and API integrations (Fast API preferred).
Design and implement data platforms/products and data warehouses.
Develop data-intensive solutions on AWS, Azure, or GCP for analytics workloads.
Design both ETL/ELT processes for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing.
Work with various database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, Snowflake).
Utilize cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, Glue).
Develop conceptual, logical, and physical data models using ERDs.
Create dashboards and data visualizations using tools such as Tableau and Quicksight.

Qualifications:

Bachelors degree in Computer Science, Data Science, or a related technical discipline.
7+ years of hands-on experience in data engineering.
4+ years of experience in developing data-intensive solutions on AWS, Azure, or GCP.
3+ years of experience in designing ETL/ELT processes and data streaming architectures.
3+ years of experience with database technologies and data warehouses.
5+ years of programming experience in Python.
Proficiency in dashboard/BI and data visualization tools (e.g., Tableau, Quicksight).

Skills and Attributes:

Thrives in dynamic, cross-functional team environments.
Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture.
Approaches challenges with a positive and can-do attitude.
Willing to challenge the status quo and take appropriate risks to drive performance.
A passionate problem solver with high learning agility.

Python Developer Lead