Job Title: Snowflake Data Engineer with Databricks Expertise Location: Iselin, NJ (Hybrid – 3 Days Onsite per Week) 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: Data Pipeline Development • 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. Collaboration & Analysis • 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: o Azure Data Engineer Associate o Databricks Certified Data Engineer Associate