Sr. Data Engineer
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Job Location:
Mount Juliet, TN - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: Sr. Data Engineer
Location: Mount Juliet TN Onsite Need Local
Duration: 6 Months (Contract)
Qualifications:
- 7 years of experience in data engineering with strong hands-on expertise in Snowflake and Power BI
- Proven ability to design analytics-ready data models and enterprise BI solutions
- Deep understanding of ELT/ETL patterns data warehousing concepts and performance tuning
- Strong experience in Snowflake architecture design including multi-cluster warehouses workload isolation and scaling strategies
- Expertise in designing layered data architectures (Bronze/Silver/Gold or Medallion) within Snowflake
- Hands-on experience with Snowflake features such as Snow pipe Streams Tasks Time Travel and Zero-Copy Cloning
- Strong knowledge of micro-partitioning clustering and pruning optimization for large-scale datasets
- Experience implementing data governance RBAC masking policies row-level security and secure data sharing in Snowflake
- Proven ability to optimize query performance and manage cost efficiency using warehouse sizing caching and query tuning techniques
- Experience with Snowflake Cortex / AI & super intelligence capabilities for enabling AI-driven data applications including use of built-in LLM functions vectorized data access and intelligent data enrichment
- Familiarity with Snowpark and Snowflake-native application development for advanced data processing and ML workloads
- Exposure to Snowflake Native Apps / Snowlit (Snowflake app framework) for building and deploying data applications within the Snowflake ecosystem
- Understanding of unstructured data handling and AI/ML integrations within Snowflake (e.g. document processing embeddings vector search)
- Experience building and optimizing Power BI dashboards semantic models and DAX calculations
- Proficiency in SQL and Python for data transformation and automation
- Experience with Azure Data Factory and cloud-based data ecosystems
- Ability to translate business requirements into scalable data models and actionable insights
Thanks
Muskan Attar
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