What are the responsibilities and job description for the Senior Data Engineer position at Rays Techsolutions Inc.?
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.
Salary : $60 - $75