Senior Data Engineer – Databricks
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Job Description
Data Engineer responsible for building reliable, scalable data pipelines on Databricks. Collaborating with teams to drive AI-driven solutions within educational technology.
Responsibilities:
- Build reliable, scalable data pipelines on Databricks
- Turn requirements into production-grade ELT/ETL jobs, Delta Lake tables, and reusable components
- Implement and improve reference patterns, optimize Spark for performance and cost
- Apply best practices with Unity Catalog and workflow orchestration
- Ship high-quality code others can build on
- Partner directly with the customer’s data engineering team to design and deliver scalable, cloud-based data solutions
- Execute complex ad-hoc queries using Databricks SQL
- Develop robust data transformation workflows using PySpark and SQL
- Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks
- Build ETL/ELT workflows with AWS and Azure Services
- Optimize Spark jobs for performance and cost
- Collaborate with data scientists, ML engineers, and business analysts
- Contribute to the development of AI-powered solutions
- Implement CI/CD pipelines for Databricks jobs
Requirements:
- Bachelor's degree in computer science, Engineering, or a related field
- 5+ years of experience in software/data engineering, including at least 2 years working with Databricks and Apache Spark
- Strong proficiency in Python, SQL, and PySpark
- Deep understanding of AWS and Azure Cloud service
- Experience with Databricks Data LakeHouse, Databricks Workflows, and Databricks SQL, dbt
- Solid grasp of data Lakehouse and warehousing architecture
- Prior experience supporting AI/ML workflows, including training data pipelines and model deployment support
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
- Strong analytical and troubleshooting skills in a fast-paced, agile environment
- Excellent collaboration skills for interfacing with both technical and non-technical customer stakeholders
- Clear communicator with strong documentation habits
- Comfortable leading discussions, offering strategic input, and mentoring others
Benefits:
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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