Snowflake Data Engineer
Mindlance
Hybrid onsite at Jersey City, NJ, 07310 / Dallas, TX, 75019 / Tampa, FL, 33647 Contract Only
2 round interview Description:
Minimum 7 years of experience in Data Management, with deep expertise in analytical data warehousing and enterprise-scale data platforms, leading complex data initiatives end to end.
Minimum 3 years of hands-on experience with Snowflake Cloud Data Warehouse, including advanced features and performance optimization for large, concurrent analytics workloads.
Strong expertise in AWS cloud architecture, with hands-on experience designing and supporting scalable, secure, and cost-efficient data solutions using core AWS services.
develop complex SQL and PL/SQL procedures to support robust, high-performance data integration and transformation frameworks.
Provide solutions using Snowflake services such as Snowpark, Streams, Tasks, and Snowpipe to build real-time and batch data integration solutions in an AWS ecosystem.
Knowledge in designing, building, and operating agentic AI systems within the Snowflake Data Cloud, leveraging Cortex AI capabilities
Drive data architecture decisions by applying strong knowledge of logical and physical data models, enabling analytics, reporting, and business intelligence at scale.
Lead the development of dimensional models, including slowly changing dimensions (SCDs) and various fact table designs, aligned with analytics and reporting best practices.
Support unit testing, system integration testing, and UAT, and ensuring production-ready data solutions.
Expertise in SQL performance tuning, proactive monitoring, root cause analysis, and resolution of complex data pipeline and platform issues.
Act as a developer within Agile delivery teams, contributing to sprint planning, story design, estimation, and documentation using Jira.
Demonstrate strong verbal and written communication skills, effectively collaborating with architects, product owners, business stakeholders, and cross-functional technology teams. EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
2 round interview Description:
Minimum 7 years of experience in Data Management, with deep expertise in analytical data warehousing and enterprise-scale data platforms, leading complex data initiatives end to end.
Minimum 3 years of hands-on experience with Snowflake Cloud Data Warehouse, including advanced features and performance optimization for large, concurrent analytics workloads.
Strong expertise in AWS cloud architecture, with hands-on experience designing and supporting scalable, secure, and cost-efficient data solutions using core AWS services.
develop complex SQL and PL/SQL procedures to support robust, high-performance data integration and transformation frameworks.
Provide solutions using Snowflake services such as Snowpark, Streams, Tasks, and Snowpipe to build real-time and batch data integration solutions in an AWS ecosystem.
Knowledge in designing, building, and operating agentic AI systems within the Snowflake Data Cloud, leveraging Cortex AI capabilities
Drive data architecture decisions by applying strong knowledge of logical and physical data models, enabling analytics, reporting, and business intelligence at scale.
Lead the development of dimensional models, including slowly changing dimensions (SCDs) and various fact table designs, aligned with analytics and reporting best practices.
Support unit testing, system integration testing, and UAT, and ensuring production-ready data solutions.
Expertise in SQL performance tuning, proactive monitoring, root cause analysis, and resolution of complex data pipeline and platform issues.
Act as a developer within Agile delivery teams, contributing to sprint planning, story design, estimation, and documentation using Jira.
Demonstrate strong verbal and written communication skills, effectively collaborating with architects, product owners, business stakeholders, and cross-functional technology teams. EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
Vacancy posted 5 days ago
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