Senior Data Engineer for Snowflake, Python & ETL Solutions

We are looking for an experienced Senior Data Engineer to help design, build, and optimize modern data platforms. The ideal candidate has strong hands-on experience with Snowflake, Python, ETL/ELT pipelines, SQL, and cloud-based data solutions. Responsibilities Design and develop scalable ETL/ELT data pipelines. Build and optimize Snowflake data warehouses. Develop Python scripts for data processing and automation. Integrate data from multiple sources into a centralized platform. Optimize SQL queries and improve data pipeline performance. Implement data quality checks, monitoring, and documentation. Collaborate with stakeholders to understand business and reporting requirements. Required Skills Strong experience with Snowflake Advanced Python programming ETL/ELT pipeline development SQL and database optimization Data warehousing and data modeling Experience with Google Cloud Platform (GCP) or similar cloud platforms Knowledge of Apache Airflow, dbt, or similar orchestration tools Experience with Big Data technologies such as Spark is a plus Strong analytical and problem-solving skills Nice to Have Experience with data migration projects Knowledge of NLP or Machine Learning data pipelines Familiarity with CI/CD, Git, Docker, or Kubernetes When applying, please include: Examples of similar Snowflake or ETL projects you've completed. Your experience with Python and cloud data platforms. Your availability and estimated timeline for this project. We're looking for someone who writes clean, scalable code, communicates well, and can deliver high-quality data engineering solutions.