InfoVision Inc.
Snowflake Data Engineering with AWS, Python and PySpark (Frisco)
InfoVision Inc., Frisco, Texas, United States
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.
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.