ripplehire
Databricks Developer
Tredence
San Jose, USA
Full-time
Senior · 4+ years experience
Onsite
Discovered 1 weeks ago
DatabricksDatabricks Lakehouse ArchitecturePySparkPythonSQLDelta Lake
Free
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DatabricksDatabricks Lakehouse ArchitecturePySpark
Key Skills for This Role
DatabricksDatabricks Lakehouse ArchitecturePySparkPythonSQLDelta Lake
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Job Details
Location: San Jose (TR)
Experience: 7 - 12 Years
Job Type: Employee
Openings: 1
Role Description
We are looking for a highly skilled Databricks Developer with expertise in building and managing modern data platforms using the Databricks Lakehouse architecture. The ideal candidate will have strong experience in PySpark, Python, SQL, Delta Lake, data modeling, data quality frameworks, and enterprise-scale data engineering solutions. The role involves designing, developing, and optimizing scalable data pipelines that support analytics, reporting, and AI/ML initiatives.
Design and implement scalable data solutions using Databricks Lakehouse Architecture.
Develop and maintain data pipelines using PySpark, Python, and SQL.
Build and optimize ETL/ELT workflows for batch and near real-time data processing.
Implement Delta Lake features including ACID transactions, time travel, schema evolution, and data versioning.
Design and maintain enterprise data models to support reporting and analytics requirements.
Ensure data quality through validation, monitoring, reconciliation, and governance controls.
Develop and manage data catalogs, metadata management, and data lineage processes.
Collaborate with business stakeholders, architects, and analytics teams to gather and translate requirements into technical solutions.
Optimize Databricks workloads for performance, scalability, and cost efficiency.
Implement security, access controls, and governance best practices within the Databricks ecosystem.
Support troubleshooting, root cause analysis, and production issue resolution.
Contribute to data platform modernization and cloud migration initiatives.
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