(Snowflake + AWS)Engineer || Dallas, TX || Onsite at Dallas, Texas, USA |
Email: [email protected] |
From: Prashanth B, Tekgence [email protected] Reply to: [email protected] Title: Snowflake + AWS Engineer Location: Dallas, TX Duration: Long term Experience: 12+ years of experience in data engineering, data warehousing, or related roles. Extensive hands-on experience with Snowflake implementations and optimizations. Experience with real-time data processing, particularly involving AWS S3 data lakes and mainframe data sources (VSAM, DB2, GDG, COBOL). Experience with performance tuning and query optimization in Snowflake. Handling high-volume data pipelines and ensuring their reliability and efficiency. Experience with ETL transformations for COBOL data sources, understanding and converting JCL code to Python-based ETL processes. Experience using AWS Glue ETL, AWS Lake Formation or any ETL tool compatible with Snowflake for data transformation. Hands on experience with snowflake features like SnowPipe, Bulk Copy, Tasks, Streams, Stored procedures, and UDFs Have experience with Snowflake cloud data warehouse and AWS S3 bucket or Azure blob storage container for integrating data from multiple source system. Should have 4+ years of experience on AWS services (S3, Glue, Lambda) or Azure services (Blob Storage, ADLS gen2, ADF) Good to have experience in deployment of code using CI/CD for AWS service, and Snowflake solutions, and exp in repositories like Gitlab, GitHub etc. Good to have experience in deployment of infrastructure as service (IaC) using tools like Terraform or equivalent tools for AWS service, and Snowflake solutions. 4+ years of experience in building and managing APIs using Python/Pyspark integration with Snowflake and cloud (AWS/Azure). Knowledge of Snowpark for advanced data processing and analytics within Snowflake. Experience in Finance and Treasury projects is preferred Expertise: Extensive knowledge of Snowflake and its ecosystem. Deep understanding of data warehousing principles and best practices. Advanced SQL skills and database design experience. Proficiency with ETL tools and data integration processes. Strong knowledge of cloud platforms, specifically AWS, and their integration with Snowflake. Expertise in data security, privacy, and compliance requirements. Solid experience working with AWS S3 data lakes and understanding of data lake architecture (experience with AWS S3 data lakes with Snowflake is advantageous). -- Regards, Prashanth B | Tekgence Inc. Talent Acquisition Specialist LinkedIn: https://www.linkedin.com/in/prashanth-goud-burra-535238207/ Email: [email protected] | Website: www.tekgence.com 6655 Deseo Dr Suite 104 Irving, TX 75039 Keywords: continuous integration continuous deployment sthree Texas (Snowflake + AWS)Engineer || Dallas, TX || Onsite [email protected] |
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Wed Aug 14 02:47:00 UTC 2024 |