Snowflake Data Engineer

Company Name :<\/b><\/span><\/span><\/span>
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Job Title :<\/b><\/span><\/span><\/span>
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Snowflake Data Engineer<\/span><\/span>
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Qualification :<\/b><\/span><\/span><\/span>
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Any graduation<\/span><\/span>
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Experience :<\/b><\/span><\/span><\/span>
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10+ years <\/span><\/span>
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Must Have Skills :<\/b><\/span><\/span><\/span>
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Strong hands -on experience with Snowflake Data Warehouse<\/b>, including schema design, performance tuning, and cost optimization<\/b>.<\/span><\/span>
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• Proficiency in <\/span><\/span>SQL<\/span><\/span><\/b> and experience with <\/span><\/span>complex queries, CTEs, and query optimization<\/span><\/span><\/b>.<\/span><\/span>
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  • Experience building and maintaining <\/span><\/span>ETL/ELT pipelines<\/span><\/span><\/b> using tools such as <\/span><\/span>Snowflake Streams & Tasks, Azure Data Factory, or similar<\/span><\/span><\/b>.<\/span><\/span>
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    • Strong programming experience in <\/span><\/span>Python<\/span><\/span><\/b> for data processing and automation.<\/span><\/span>
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      • Experience working with <\/span><\/span>cloud platforms<\/span><\/span><\/b> (Azure/AWS/GCP) and cloud -based data solutions.<\/span><\/span>
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Good to Have Skills :<\/b><\/span><\/span><\/span>
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Experience with data modeling techniques<\/b> (Star, Snowflake schema, Dimensional modeling).<\/span><\/span>
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• Knowledge of <\/span><\/span>big data technologies<\/span><\/span><\/b> such as <\/span><\/span>Spark or Databricks<\/span><\/span><\/b>.<\/span><\/span>
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  • Familiarity with <\/span><\/span>data governance, security, and compliance<\/span><\/span><\/b> practices.<\/span><\/span>
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    • Exposure to <\/span><\/span>BI and reporting tools<\/span><\/span><\/b> like <\/span><\/span>Power BI, Tableau, or Looker<\/span><\/span><\/b>.<\/span><\/span>
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      • Understanding of <\/span><\/span>CI/CD and DevOps practices<\/span><\/span><\/b> for data pipelines.<\/span><\/span>
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Roles and Responsibilities :<\/b><\/span><\/span><\/span>
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Design, develop, and optimize Snowflake -based data warehouse solutions for scalable analytics.<\/span><\/b><\/span><\/span>
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1. Build and maintain <\/span><\/span>reliable data pipelines<\/span><\/span><\/b> to ingest, transform, and serve data from multiple sources.<\/span><\/span>
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2. Ensure <\/span><\/span>data quality, integrity, and performance<\/span><\/span><\/b> across all data platforms.<\/span><\/span>
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3. Collaborate with data analysts, data scientists, and business stakeholders to meet reporting and analytics needs.<\/span><\/span>
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4. Mentor junior data engineers and contribute to <\/span><\/span>architecture decisions and best practices<\/span><\/span><\/b>.<\/span><\/span>
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Location :<\/b><\/span><\/span><\/span>
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Hyberabad<\/span><\/span>
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CTC Range :<\/b><\/span><\/span><\/span>
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30 LPA<\/span><\/span>
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Notice period :<\/b><\/span><\/span><\/span>
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Immediate joiners<\/span><\/span>
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Shift Timings :<\/b><\/span><\/span><\/span>
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General<\/span><\/span>
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Mode of Interview :<\/b><\/span><\/span><\/span>
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Virtual<\/span><\/span>
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Mode of Work :<\/b><\/span><\/span><\/span>
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Hybrid<\/span><\/span><\/span>
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Mode of Hire :<\/b><\/span><\/span><\/span>
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Permanent<\/span><\/span>
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Note :<\/b><\/span><\/span><\/span>
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