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# Senior Data Engineer

- **Company:** Rays Techsolutions Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Cloud Computing Security, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), SQL Databases, Git, Data Lakes, Pyspark, Data Pipelines, Databricks
- **Published:** July 31, 2026
- **Apply:** https://www.dice.com/job-detail/51fc1b47-4f6a-421d-b238-d9eb2c8747d2

## About the Role

* 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.

## Description

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., * 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.


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