Sr Databricks Data Engineer

Job summary

Join Del***'s AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation.

Benefits

Qualifications

• Required:
• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
• Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
• 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:
• Master's degree in Computer Science, Engineering, or a related field
• Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services
• Experience tuning and optimizing performance in Databricks and Apache Spark environments
• Experience with Databricks Lakeflow

Responsibilities

• As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation.
• You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes.
• Work you'll do
• As a Databricks Engineer III on the AI & Data team, you will be responsible for:

Skills

Degrees

Travel

Industry

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