Build the future of data. Join the Snowflake team.
Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
In addition, Snowflake's culture was built on the following values that are even more important to us today:
- Put Customers First. We only succeed when our customers succeed
- Integrity Always. Be open, honest, and respectful
- Think Big. Be ambitious and have big goals
- Be Excellent. Quality and excellence count in everything we do
- Get It Done. Results matter!
- Own It
- Make Each Other the Best
- Embrace each others' Differences
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JOB DESCRIPTION
- Interface with data scientists, product managers, and business stakeholders to understand data needs and help build data infrastructure and data ingestions that scales across the company
- Drive the design, building, and launching of new data models and data pipelines in production
- Build data expertise and own data quality for allocated areas of ownership
- Align to Product roadmap in building tools for data platform
- Mature requirement and follow design develop and communicate model using Agile methodology for data ingestion and data Products for Platform.
MINIMUM QUALIFICATION
- 2-5 years of experience as a Data Engineer
- 2+ years experience using Python and SQL
- Expertise in writing SQL statements and data modeling concepts
- Must be strong in python
- Understanding of API and connectors is highly desirable
- Analyzing data to identify deliverables, gaps and inconsistencies.
- Understanding of at least one cloud platform (AWS, Azure, Google)
PREFERRED QUALIFICATION :
- BE/BTECH in Computer Science, IT or other technical field.
- Experience with data ingestions and data analytics.
- Experience in Snowflake Platform
- Experience in Snowflake RBAC and SQL Observability and Fine tuning
- Must be aware of the cloud environment from data ingestion and modeling perspective.
- Experience with Apache Airflow is highly desirable.
- Schema design and dimensional data modeling.
- Custom ETL design, implementation and maintenance.