| Sr. Snowflake Data Engineer at Snowflake, Arizona, USA |
| Email: [email protected] |
| From: kishore, Calabitek [email protected] Reply to: [email protected] Hiring:- Hi, I hope you are doing well. Project Overview : This project aims to modernize our data architecture by leveraging cloud technologies, specifically Snowflake and Databricks, to enhance our data storage, processing, and analytics capabilities. It involves migrating application data from an on-premises Oracle database to a more scalable, flexible and secure cloud-based environment, optimizing data flows and analytics to support real-time decision-making and insights. Key Responsibilities: 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. Share your updated resume to [email protected] Keywords: continuous integration continuous deployment information technology Sr. Snowflake Data Engineer [email protected] |
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| Thu Sep 12 01:32:00 UTC 2024 |