Tech Lead - Software Engineer

Job Description: Senior Databricks Engineer (SQL, Python, PySpark)
Experience: 8+ Years
Location: Santa Clara, CA Day1 osnite

In-Person interivew after L1 is clear

We are seeking an experiencedSenior Databricks Engineer with strong expertise inDatabricks, Python, PySpark, and SQL to design, develop, and optimize large scale data processing solutions. The ideal candidate will have hands on experience building data pipelines, implementing ETL/ELT processes, and working with cloud based data platforms to support analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines usingDatabricks, PySpark, Python, and SQL.
• Build and optimize ETL/ELT frameworks for processing large volumes of structured and unstructured data.
• Develop data ingestion solutions from multiple source systems into cloud data lakes and warehouses.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Implement data quality, validation, and monitoring frameworks.
• Perform data modeling and transformation for reporting and analytics use cases.
• Troubleshoot production issues and provide timely resolutions.
• Follow best practices for coding, testing, version control, and deployment.

Required Skills

• 8+ years of experience in Data Engineering.
• Strong hands on experience withDatabricks.
• Expertise inPySpark, Python, and SQL.
• Experience with Spark optimization techniques and performance tuning.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Experience building ETL/ELT pipelines.
• Knowledge of Delta Lake, Spark SQL, and Databricks workflows.
• Experience with Git, CI/CD, and Agile methodologies.
• Strong analytical and problem solving skills.

Preferred Skills

• Experience with cloud platforms such asAzure, AWS, or GCP.
• Knowledge ofAzure Data Factory (ADF), Airflow, or other orchestration tools.
• Experience with streaming technologies such as Kafka or Structured Streaming.
• Exposure to Power BI, Tableau, or other analytics tools.
• Databricks or cloud certifications are a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Excellent communication and stakeholder management skills