Data Engineering Role

As a Data Engineer at this company, your role will involve architecting, building, and optimizing robust data pipelines and workflows. You will have end-to-end ownership of ETL pipelines and be required to have at least 3+ years of experience in Data Engineering. Key responsibilities include: - Proven hands-on experience with ETL pipelines - Deep experience with AWS resources such as EC2, Athena, Lambda, and Step Functions (non-negotiable) - Strong proficiency with MySQL (not negotiable) - Working with Docker for setup, deployment, and troubleshooting Additionally, it would be beneficial if you have experience with: - Airflow or any modern orchestration tool - PySpark, Python Ecosystem, SQL Alchemy, DuckDB, PyArrow, Pandas, Numpy, and DLT (Data Load Tool). About the company, they are looking for individuals who are builders, not just maintainers, can work independently while communicating effectively, thrive in fast-moving startup environments, and value ownership and impact over mere code. If you are interested in this position, include the code word Red Panda in your application. Please note that only serious and relevant applicants will be considered for this role.,