Snowflake Data Engineering with AWS, Python and PySpark

Job Title: Snowflake Data Engineering with AWS, Python and PySpark

Location: Frisco TX (3 days office)

Duration: 12 months

Required Skills & Experience:

• 10 years of experience in data engineering and data integration roles.
• Experts working with snowflake ecosystem integrated with AWS services & PySpark.
• 8 years of Core Data engineering skills – Handson on experience with Snowflake ecosystem AWS experience, Core SQL, Snowflake, Python Programming.
• 5 years Handson experience in building new data pipeline frameworks with AWS, Snowflake, Python and able to explore new ingestion frame works.
• Handson with Snowflake architecture, Virtual Warehouses, Storage, and Caching, Snow pipe, Streams, Tasks, and Stages.
• Experience with cloud platforms (AWS, Azure, or GCP) and integration with Snowflake.
• Snowflake SQL and Stored Procedures (JavaScript or Python-based).
• Proficient in Python for data ingestion, transformation, and automation.
• Solid understanding of data warehousing concepts (ETL, ELT, data modeling, star/snowflake schema).
• Hands-on with orchestration tools (Airflow, dbt, Azure Data Factory, or similar).
• Proficiency in SQL and performance tuning.
• Familiar with Git-based version control, CI/CD pipelines, and DevOps best practices.
• Strong communication skills and ability to collaborate in agile teams.