Databricks Data Engineer II

Job summary

Join Del***'s Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation.

Qualifications

• Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
• 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
• 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
• Experience implementing data models, data integration patterns, and cloud-based data processing workflows
• Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
• Preferred:
• Experience with Delta Lake, Databricks Workflows, and Unity Catalog
• Experience using Git-based version control and continuous integration/continuous deployment pipelines
• Experience supporting batch and streaming data workloads

Responsibilities

• As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation.
• You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes.
• Work you'll do
• As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

Skills

Degrees

Travel

Industry

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