| Snowflake Data Engineer at Louisville, TX [local to TX only] - US Citizen or Green Card only! at Louisville, Kentucky, USA |
| Email: [email protected] |
| From: Devyani Kumari, Absolute IT [email protected] Reply to: [email protected] Snowflake Data Engineer Louisville, TX [local to TX only] US Citizen or Green Card only! 2 month Contract to PERM Work Scheduled: First 30 days 100% onsite, then Hybrid -3 days onsite MUST HAVE: Work on snowflake cloud data platform. Their snowflake deploys to Azure He has partners working with him on snowflake and needs in-house knowledge. Azure data factory Coalesce function if working with snowflake **needs this experience- not learning it Coalesce is a cloud transformation tool designed to aid data engineers in modernizing data workflows, optimizing data pipelines, and leveraging cloud infrastructure for data processing and analytics. Here's an overview of what Coalesce offers specifically for data engineers DBT- (another competitor) Expecting to have Python Contract to hire Experience with Snowflake Cloud Data Warehouse is a must Experience with transformation tool Coalesce is a must Experience with Azure Data Factory is a must Experience with message queuing and stream processing such as Pub-Sub, Azure Event Grid, Kafka etc. Experience with data pipeline and workflow management tools such as Airflow, etc . Conversion Salary: Reason to work: they way company is growing Ex. Snowflake- opening up to ML/AI Projects They have a blank canvas and can be apart of making these decisions and grow skillset. Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. This role is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. This position will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams and systems. Overall, they must strive for efficiency by aligning data systems with business goals. Duties and Responsibilities: Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and various cloud technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with the business to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Create complex SQL queries and database objects (stored procs, views, etc.) to pull and manage data. Developing complex data pipelines using SSIS packages, Azure Data Factory, or other related ETL/ELT tools to move and translate data Create and maintain documentation on data pipelines Project: All data on SQL server and migrating data to Snowflake Helping with migration, translate date, environment is set up correctly. And the business can start using Snowflake. A lot of the data is on SQL Server. Communication has to be good- Keywords: artificial intelligence machine learning information technology Texas Snowflake Data Engineer at Louisville, TX [local to TX only] - US Citizen or Green Card only! [email protected] |
| [email protected] View all |
| Thu Jun 13 20:59:00 UTC 2024 |