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# Senior Data Engineer

- **Company:** Raas Infotek LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Performance Tuning, Software Deployment, SQL Databases, Teradata SQL, Workflow Management Systems, Enterprise Data Management, Google Cloud, Cloud Platform System, Azure Data Factory, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, AWS Glue, Apache Kafka, Spark Streaming, Terraform, Azure Synapse Analytics, Data Pipelines, Docker, Jenkins, Amazon Redshift, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/a7a1f23a-2c48-420f-8db4-feca50227d09

## About the Role

We are looking for a highly experienced Senior Data Engineer with 10+ years of experience in designing and developing scalable data solutions and enterprise data platforms., * 10+ years of experience in Data Engineering / ETL

 * Strong hands-on experience with Python, SQL, and PySpark
 * Strong experience with Databricks, Apache Spark, and Delta Lake
 * Expertise in AWS, Azure, or Google Cloud Platform cloud platforms
 * Experience with Snowflake, Redshift, BigQuery, Synapse, Teradata, or similar data warehouses
 * Strong knowledge of ETL/ELT, data pipelines, data modeling, and data warehousing
 * Experience with Apache Airflow, Azure Data Factory, AWS Glue, or similar orchestration tools
 * Experience with Kafka / Spark Streaming is preferred
 * Knowledge of CI/CD, Git, Jenkins/Azure DevOps, Docker, and Terraform is a plus
 * Experience with CDC, SCD, partitioning, performance tuning, and data quality
 * Strong understanding of Data Lake, Data Warehouse, and Lakehouse architecture
 * Ability to lead technical discussions, perform design reviews, and mentor junior engineers, Education: Bachelor's degree in Computer Science, IT, Engineering, or related field preferred.

## Description

* Design and develop scalable batch and real-time data pipelines.
 * Build and optimize cloud-based data platforms and ETL/ELT solutions.
 * Develop complex data transformations using Python, SQL, and PySpark.
 * Perform data quality checks, troubleshooting, and performance optimization.
 * Collaborate with architects, data scientists, analysts, and business teams.
 * Support production deployments and resolve complex data pipeline issues.


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