| Snowflake Data Engineer at Snowflake, Arizona, USA |
| Email: [email protected] |
| From: Vasi, Smart IT Frame [email protected] Reply to: [email protected] Hi, Greetings from Smart IT Frame, Hope you are doing well!!! Smart IT Frame specializes in enabling you with your most critical line of resources. Whether its for permanent staffing, contract staffing, contract-to-hire or executive search, we understand the importance of delivering the most suitable talent; on time and within budget. With our Core focus in emerging technologies, we have provided global technology workforce solutions in North America, Canada & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide. Role: Snowflake Data Engineer Location: Chicago-IL (Hybrid) JD: Data Pipeline Development: Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model. Data Integration: Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using CDC tools. Support Data Modeling: Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements. Reporting Support: Collaborate with data architect to ensure the data within Snowflake is structured in a way that supports efficient and insightful reporting. Technical Documentation: Create and maintain comprehensive documentation of data pipelines, ETL processes, and data models to ensure best practices are followed and knowledge is shared within the team. Qualifications Experience: Total 10+ years of experience as data engineer; proven experience as a Snowflake data engineer for 5+ years. Skills: Strong knowledge of SQL writing complex queries, performance tuning, Strong experience with Oracle, Snowflake, ETL/ELT tools Data engineering: proven track record of developing and maintaining data pipelines and data integration projects Orchestration Tools: Experience in Airflow for managing data pipeline workflows. Programming: proficiency in Python and SQL for data processing tasks. Data Modeling: Understanding of data modeling principles and experience with data warehousing solutions. Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake integration. Collaboration Tools: Experience with version control systems (like Git) and collaboration platforms. CI/CD Implementation: Utilize CI/CD tools to automate the deployment of data pipelines and infrastructure changes, ensuring high-quality data processing with minimal manual intervention. Communication: Excellent communication and teamwork skills, with a detail-oriented mindset. Strong analytical skills, with the ability to work independently and solve complex problems. Certifications: Snowflake certification is a plus. Education: Bachelors degree in Computer Science, Information Technology, or a related field. Thanks and Regards Vasanth G Talent Acquisition Group Email: [email protected] Keywords: continuous integration continuous deployment information technology Illinois Snowflake Data Engineer [email protected] |
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| Tue Sep 24 18:52:00 UTC 2024 |