| Hybrid - Snowflake Data Engineer (only 15 years candidates) at Snowflake, Arizona, USA |
| Email: [email protected] |
| From: Usha Geethari, StellarIT Solutions [email protected] Reply to: [email protected] Hi, This is Usha form Stellar IT Solutions! You intrigued us in your profile; hence I have a Great Opportunity for you with our direct client so kindly view the below job description and let me know your interest to proceed further. Position: Snowflake Data Engineer (DBT, Snowpark & Python) Location: Bryant Park, NYC (3 Days a week in Office) Hybrid Duration: Long Term We need 2 Snowflake Data Engineer for NYC location, please try to submit some ASAP Job Summary: We are seeking an experienced Snowflake Data Engineer with expertise in DBT (Data Build Tool) and Python to join our team. As a Snowflake Data Engineer, you will be responsible for designing, building, and maintaining large-scale data warehouses using Snowflake, a cloud-based data warehousing platform. Responsibilities: Design, develop, and maintain complex data warehouses using Snowflake, including data modeling, ETL processes, and data quality control. Develop and maintain data pipelines using DBT, a popular open-source tool for data transformation, testing, and deployment. Ensure data pipelines are scalable, reliable, and efficient. Write Python code to automate data processing, transformation, and loading tasks, including data ingestion, data quality control, and data visualization. Collaborate with data analysts and business stakeholders to understand data requirements and develop data solutions that meet business needs. Develop and maintain data visualizations and reports using Snowflake's built-in visualization tools or third-party tools like Tableau. Ensure data quality, integrity, and security by developing data validation rules, data cleansing processes, and data access controls. Optimize data warehouse performance, scalability, and reliability, including monitoring and troubleshooting data issues. Develop and maintain technical documentation, including data dictionary, data flow diagrams, and code comments. Participate in code reviews and provide feedback to ensure high-quality code and adherence to coding standards. Stay up to date with Snowflake's latest features and best practices, and apply this knowledge to improve data warehouse design and performance. Provide technical support to users and troubleshoot data issues as needed. Requirements: Bachelors degree in computer science, Data Science, or a related field. 7+ years of experience in data engineering, data warehousing, or related field. Strong understanding of Snowflake architecture, data modeling, and data warehousing concepts. Proficiency in SQL, including Snowflake's SQL dialect. Experience with DBT, including data transformation, testing, and deployment. Understanding and Experience of snowpark for ETL transformations. Strong programming skills in Python, including data processing, transformation, and loading tasks. Experience with data visualization tools, such as Tableau, Power BI, or D3.js. Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues. Excellent communication and collaboration skills, with the ability to work with cross-functional teams. Experience with Agile development methodologies and version control systems, such as Git. Thanks & Regards, Usha R Senior Talent Acquisition https://www.linkedin.com/in/usha-g-3a2ba2101 Work: 240-774-0203| Email: [email protected] Rockville, MD | McLean, VA | Palo Alto, CA StellarIT.com | StellariDeaLabs.com Keywords: javascript business intelligence rlang information technology California Maryland Virginia Hybrid - Snowflake Data Engineer (only 15 years candidates) [email protected] |
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| Sat Nov 09 00:17:00 UTC 2024 |