
Snowflake Data Engineer
4 weeks ago
Responsibilities :
- Design and build scalable data pipeline architecture that can handle large volumes of data
- Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse
- Optimize and maintain the data infrastructure to ensure high availability and performance
- Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models
- Develop and maintain data models to support business needs
- Ensure data security and compliance with data governance policies
- Identify and troubleshoot data quality issues
- Automate and streamline processes related to data management
- Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture.
- Analyze the data products and requirements to align with data strategy
- Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams
- Enhance the efficiency, automation, and accuracy of existing reports
- Follow best practices in data querying and manipulation to ensure data integrity
Requirements :
- Must have 8+ years of experience as a Snowflake Data Engineer or related role
- Must have experience with Snowflake
- Strong Snowflake experience building, maintaining and documenting data pipelines
- Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features
- Strong SQL development experience including SQL queries and stored procedures
- Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic.
- Well versed in data standardization, cleansing, enrichment, and modeling
- Proficiency in one or more programming languages such as Python, Java, or C#
- Experience with cloud computing platforms such as AWS, Azure, or GCP
- Knowledge of ELT/ETL processes, data warehousing, and data modeling
- Familiarity with data security and governance best practices
- Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes
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