Snowflake Data Engineer
The candidate must be local or within 2 hours driving distance. What the Job Really Means You will be doing the following: 1. Building and organizing data in Snowflake Creating proper data models and schemas Making sure data is easy to access and performs well 2. Creating and managing data pipelines Bringing data from different systems into Snowflake Transforming and preparing it for analysis (ETL/ELT)3. Writing strong SQL and Python Writing very complex SQL queries Writing Python stored procedures within Snowflake 4. Improving performance Making slow queries run faster Fixing bottlenecks in the data pipeline Optimizing Snowflake resources 5. Ensuring security and access control Managing permissions, encryption, and data governance Making sure data is protected 6. Documentation & Maintenance Documenting data models, pipelines, and logic Keeping everything well-maintained 7. Troubleshooting issues Identifying and resolving data pipeline or database issues Supporting users and teams when they face data problems 8. Collaborating with teams Working with data architects, engineers, and business users Understanding business needs and turning them into technical solutions Additional Skills Strong understanding of data warehousing concepts Experience writing stored procedures, functions, tables, scripts Database testing and data comparison GitLab, CI/CD, DevOps tools Some experience with AWS Lambda or Azure Functions In Short: This is a senior Snowflake Data Engineer role (10+ years) requiring strong SQL + Python, data pipeline development, data modeling, performance tuning, and onsite presence in NJ. Share resume's to [email protected]
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