Senior Data Engineer

Location: San Jose, California, United States
Experience: 8 10 Years

Job Summary

We are seeking a Senior Data Engineer with strong expertise in Databricks, AWS, PySpark, and Apache Airflow to build scalable data pipelines and modern data platforms that support analytics and business-critical applications.

Required Skills

• 8 10 years of Data Engineering experience.
• Strong hands-on experience with Databricks, AWS, PySpark, Python, SQL, and Apache Airflow.
• Experience with Delta Lake, Lakehouse Architecture, ETL/ELT pipelines, and data modeling.
• Knowledge of GenAI, analytics, Git, CI/CD, and cloud security best practices.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using Databricks and PySpark.
• Build and manage data workflows using Apache Airflow.
• Develop and optimize data solutions on AWS (S3, Glue, Lambda, EMR, Redshift).
• Ensure data quality, performance, security, and governance.
• Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
• Mentor junior engineers and contribute to engineering best practices.