
5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
🕒 March 10
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5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
• Be responsible for delivering exceptional outcomes for our teams and customers during our modernization projects. You will engage with customers to migrate from legacy environments into Snowpark/Snowflake. You will act as the expert for our customers and partners throughout this process. • In addition to customer engagements, you will work with our internal team to provide requirements for our Snowconvert utility, based on project experiences. This ensures that our tooling is continuously improved based on our implementation experience.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience • 2 - 5 years of experience as a solutions architect, data architect, database administrator, or data engineer. • Willingness to forge ahead to deliver outcomes for customers in a new arena, with a new product set • Passion for solving complex customer problems • Ability to learn new technology and build repeatable solutions/processes • Ability to anticipate project roadblocks and have mitigation plans in-hand • Experience in Data Warehousing, Business Intelligence, AI/ML, application modernization, or Cloud projects • Experience in building realtime and batch data pipelines using Spark and Scala • Proven track-record of results with multi-party, multi-year digital transformation engagements • Proven ability to communicate and translate effectively across multiple groups from design and engineering to client executives and technical leaders • Strong organizational skills, ability to work independently and manage multiple projects simultaneously • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI) • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) • Software development experience with Python, Java , Spark and other Scripting languages • Proficiency in implementing data security measures, access controls, and design within the Snowflake platform. • Internal and/or external consulting experience.
• Expertise and Specialization: We are designed to bring together experts and specialists in a particular domain. This creates an environment where employees can collaborate with like-minded professionals, share knowledge, and learn from each other • Innovation and Best Practices: We focus on driving innovation and implementing best practices within our domain which is making sure customers have a healthy Snowflake adoption. Working with us will expose you to cutting-edge technologies, methodologies, and industry trends. • Professional Development: Access to mentorship, training programs, and continuous learning initiatives can enhance your skills and advance your career. • Impactful Work: Our CoE is established to address critical business challenges or opportunities. Working on our projects will allow you to contribute to solutions that have a significant impact on the organization's success. • Cross-Functional Collaboration: collaboration with various departments, teams, partners and customers around the world.
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