Position - Snowflake Data Engineer
Location - Iselin, NJ (Hybrid, 3 days in a week)
Duration - 06 Months+
Job Description
We are seeking highly skilled Snowflake Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions
Responsibilities:
Data Pipeline Development:
• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
• Collaboration & Analysis:
• Work Closely with multiple teams to prepare data for dashboard and BI Tools.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.
Performance & Optimization:
• Optimize Databricks workloads for cost efficiency and performance.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Governance & Security
• Implement and manage data security, access controls and governance standards using Unity Catalog.
• Ensure compliance with organizational and regulatory data policies.
Deployment:
• Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
• Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.
Technical Skills:
• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table, Triggers, Delta Live Pipelines, Databricks Runtime etc.)
• Experience in Snowflake, Snowpipe & SnowSql
• Proficiency in Azure Cloud Services.
• Solid Understanding of Spark and PySpark for big data processing.
• Experience in relational databases.
• Knowledge on Databricks Asset Bundles and GitLab.
Preferred Experience:
• Familiarity with Databricks Runtimes and advanced configurations.
• Knowledge of streaming frameworks like Spark Streaming.
• Experience in developing real-time data solutions.
Certifications:
• Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
Apply Now
Apply Now