Mid–Senior Databricks Developer

Key Responsibilities:

• Design develop and maintain scalable data pipelines and ETL workflows using Databricks.
• Build and optimize Delta Lake architectures and data models.
• Develop highquality reusable code in Python for data processing and automation.
• Write and optimize complex SQL queries for large datasets.
• Implement and manage solutions on Microsoft Azure including Azure Data Lake Azure Data Factory and related services.
• Collaborate with data engineers analysts and business stakeholders to understand requirements and deliver highquality solutions.
• Ensure data quality reliability and performance across all pipelines.
• Troubleshoot production issues and perform rootcause analysis.
• Follow best practices for version control CI/CD and cloud security.

Required Qualifications:

• Bachelors degree in Computer Science Information Technology Engineering or a related field (minimum requirement).
• 810 years of experience in data engineering or software development.
• Strong handson experience with Databricks (including notebooks jobs clusters Delta Lake).
• Advanced proficiency in Python for data engineering.
• Strong expertise in SQL including performance tuning.
• Solid experience with Microsoft Azure cloud services.
• Experience working with largescale distributed data systems.
• Strong problemsolving skills and ability to work independently.

Preferred Skills (Nice to Have)

• Experience with CI/CD tools (Azure DevOps GitHub Actions).
• Knowledge of Spark performance optimization.
• Experience with data governance and security frameworks.
• Familiarity with Agile methodologies.

Qualifications :

Strong hands-on Databricks Notebooks Jobs Clusters & Delta Lake
Strong Python / PySpark
Advanced SQL & performance tuning
Strong Microsoft Azure experience
Azure Data Factory (ADF) & Azure Data Lake (ADLS)
Large-scale ETL/ELT & Data Engineering
Spark / distributed data processing
Data quality & production troubleshooting
CI/CD Git / Azure DevOps
Cloud security & data governance knowledge

Additional Information :

Preferred Qualifications

Experience working in structured environments with established standards methodologies and governance processes.

Location: Lansing MI (Local Candidates Only)

Remote Work :

Yes

Employment Type :

Contract