Databricks Engineer
iLink Digital
Milpitas, United States | Posted on 07/22/2026
We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have experience building scalable ETL/ELT pipelines, working with large-scale data, and leveraging Apache Spark to deliver high-performance data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks.
- Build ETL/ELT workflows for batch and streaming data processing.
- Develop solutions using PySpark, Spark SQL, and Delta Lake.
- Implement Medallion Architecture (Bronze, Silver, Gold) for data transformation.
- Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Collaborate with Data Architects, Data Scientists, BI developers, and business stakeholders.
- Implement CI/CD pipelines and deployment automation for Databricks workloads.
- Ensure data quality, security, governance, and compliance.
- Monitor, troubleshoot, and optimize production data pipelines.
- Document technical solutions and follow engineering best practices.
Required Skills
Core Technologies
- Databricks Lakehouse Platform
- PySpark
- Spark SQL
- Python
- SQL
Cloud Platforms (one or more)
- AWS
- Data Warehousing
- Data Modeling
- ETL/ELT Development
- Batch Processing
- Data Lake Architecture
- Git
Preferred Qualifications
- Experience with Unity Catalog.
- Knowledge of Databricks Workflows and Jobs.
- Hands-on experience with Delta Live Tables (DLT).
- Exposure to MLflow is an added advantage.
- Experience with data governance and security best practices.
- Familiarity with Infrastructure as Code (Terraform) is a plus.
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Certifications
Good to Have
- Experience with real-time analytics.
- Knowledge of Lakehouse architecture.
- Experience with Agile/Scrum methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Mandatory Skills
- Databricks
- PySpark
- Spark SQL
- Python
- SQL
- Azure/AWS/GCP (at least one cloud platform)
Vacancy posted 6 hours ago
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