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# Data Engineer

- **Company:** Raas Infotek LLC
- **Location:** Plano, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Operational Databases, Cloud Services, SQL Databases, Data Processing, Freeform SQL, Google Cloud, Cloud Platform System, Azure Data Factory, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Kubernetes, AWS Glue, Apache Kafka, Data Management, Data Lakehouse, Video Streaming, Data Pipelines, Docker, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/7eda3da4-9b68-4ad2-9bfd-92e29f86d326

## About the Role

We are seeking a highly experienced Senior Data Engineer with 12+ years of expertise in designing, developing, and optimizing scalable data platforms, pipelines, and cloud-based data solutions., * 12+ years of experience in Data Engineering

 * Strong expertise in Python, SQL, ETL/ELT
 * Advanced experience with AWS / Azure / Google Cloud Platform
 * Hands-on experience with Snowflake, Databricks, or equivalent cloud data platforms
 * Strong knowledge of data warehousing and dimensional data modeling
 * Experience with Spark / PySpark
 * Expertise in Azure Data Factory / AWS Glue / similar orchestration tools
 * Experience developing batch and real-time data pipelines
 * Strong knowledge of Kafka or other streaming technologies
 * Experience with Data Lake / Data Lakehouse architectures
 * Strong understanding of data quality, validation, governance, and security
 * Experience with CI/CD, Git, Docker, and Kubernetes
 * Performance tuning and optimization of large-scale data workloads
 * Excellent communication and stakeholder-management skills

## Description

* Design and develop scalable data pipelines and ETL/ELT processes
 * Build and maintain cloud-based data platforms
 * Develop complex SQL queries and optimize data-processing workloads
 * Implement data integration across multiple sources
 * Develop batch and streaming data solutions
 * Design data models, data warehouses, and lakehouse architectures
 * Ensure data quality, reliability, security, and governance
 * Collaborate with architects, analysts, developers, and business stakeholders
 * Troubleshoot production data issues and improve pipeline performance
 * Mentor junior and mid-level data engineers
 * Support modernization and migration of legacy data platforms to cloud environments


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