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# Data Engineer

- **Company:** SRS Consulting Inc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Oracle SQL Developer, Cloud Services, Software Engineering, SQL Databases, Google Cloud, Cloud Platform System, Sql Optimization, Snowflake, Database Performance, Information Technology, Star Schema, Apache Kafka, Data Management, Physical Data Models, Data Pipelines, Databricks
- **Published:** June 25, 2026
- **Apply:** https://www.dice.com/job-detail/78f3e753-affd-4aa4-8713-c45be97f8ae2

## About the Role

* Snowflake and Oracle SQL
 * Advanced SQL and Database Management
 * Python, Java, or Scala
 * Data Modeling and Data Architecture
 * ETL/ELT Development
 * AWS, Azure, or Google Cloud Platform
 * Snowflake, Databricks, or BigQuery
 * Apache Airflow, Kafka, and dbt
 * Data Governance and Data Quality Frameworks, * Bachelor's degree in Computer Science, Engineering, or a related field.
 * 8 10+ years of experience in Data Engineering, Data Architecture, or Software Engineering.
 * Strong hands-on experience with cloud data platforms and modern data warehousing technologies.
 * Excellent analytical, problem-solving, and communication skills.

## Description

We are seeking an experienced Data Engineer with strong expertise in data architecture, data engineering, cloud platforms, and modern data warehousing solutions. The ideal candidate will be responsible for designing scalable data platforms, building ETL/ELT pipelines, developing data models, and supporting enterprise analytics initiatives., * Design and implement enterprise data architecture and data integration solutions.

 * Develop and maintain scalable ETL/ELT pipelines and data workflows.
 * Create conceptual, logical, and physical data models (Star/Snowflake Schemas).
 * Build and optimize data warehouse and lakehouse solutions.
 * Establish data governance, security, and data quality standards.
 * Collaborate with business stakeholders to translate requirements into technical solutions.
 * Optimize SQL queries, database performance, and cloud-based data platforms.


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