Snowflake Data Engineer with Databricks Expertise
GeorgiaTEK Systems Inc. - Woodbridge, New Jersey, United States
Work at GeorgiaTEK Systems Inc.
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Overview
Snowflake Data Engineer with Databricks Expertise
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from GeorgiaTEK Systems Inc. Job Title: Snowflake Data Engineer with Databricks Expertise Type: Contract Rate: DOE Job Summary: We are looking for a highly skilled Snowflake Data Engineer with strong experience in Databricks to join our dynamic data team. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data pipelines, ensuring scalability, performance, and reliability. This role requires close collaboration with cross-functional teams and business stakeholders to deliver enterprise-grade data solutions. Key Responsibilities: • Build and maintain scalable ETL/ELT pipelines using Databricks. • Leverage PySpark/Spark and SQL to process and transform large-scale datasets. • Integrate data from multiple sources including Azure Blob Storage, ADLS, and other relational/non-relational databases. • Collaborate with teams to prepare data for dashboards and BI tools. • Work closely with stakeholders to understand requirements and provide tailored data solutions. Performance & Optimization • Optimize Databricks workloads for performance and cost-efficiency. • Monitor and troubleshoot pipelines to ensure data integrity and reliability. Governance & Security • Implement data security, access controls, and governance using Unity Catalog. • Ensure compliance with organizational and regulatory data policies. Deployment & Best Practices • Use Databricks Asset Bundles for deployment of jobs, notebooks, and configurations. • Manage version control (e.g., GitLab) and follow development best practices. Technical Skills: • Expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Delta Live Tables, etc.) • Strong hands-on experience with Snowflake, Snowpipe, and SnowSQL • Proficiency in Azure Cloud Services • Solid understanding of Spark/PySpark for big data processing • Experience working with relational databases • Knowledge of Databricks Asset Bundles and GitLab Preferred Qualifications: • Familiarity with Databricks Runtime configurations • Experience with Spark Streaming and real-time data solutions • Relevant certifications such as: Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
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