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# Data Engineer

- **Company:** Indotronix Avani Group
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Information Engineering, JSON, Python (Programming Language), NoSQL, Power BI, Azure Data Lake, SQL Databases, Azure Data Factory, Data Lakes, Databricks
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/jmWUZqhNu4LHMBvUIdKtrMuoL1xyBSn-AbYggkDc68E

## About the Role

5+ years of experience in Data Engineering

 - Deep expertise with data ingestion (ETL/ELT), Azure Data Factory, and data modeling
 - Advanced proficiency in Azure Databricks (PySpark/Spark SQL) and medallion architecture
 - Familiarity with SQL, relational, and NoSQL databases
 - Strong experience with data lake/warehouse platforms (Azure Data Lake, One Lake, Delta Tables)
 - Proven ability to work with large structured and semi-structured datasets
 - Effective collaboration and communication skills to translate business requirements into technical solutions
 - US Citizenship required (ITAR compliance)

[Preferred Skills]

 - Experience supporting Power BI analytics and reporting environments
 - Hands-on exposure to CI/CD tools for data engineering, Python and AWS

## Description

Join a high-impact team as a Data Engineer supporting Pratt & Whitney in Plano, TX. You'll leverage cutting-edge cloud technology and robust data engineering frameworks to build, optimize, and maintain enterprise-scale data solutions. This role offers direct collaboration with analytics teams, opportunities to work on high-profile aerospace data projects, and the ability to influence data-driven decision making. Accelerate your career in a dynamic and innovative work environment with world-class tools and supportive leadership., Design, develop, and maintain robust end-to-end data pipelines using Azure Databricks and data ingestion tools

 - Engineer scalable frameworks for ingesting data from APIs, databases, files, and cloud sources (batch and incremental processes)
 - Optimize complex data transformations using Spark, SQL, and Python for analytics and machine learning initiatives
 - Develop and refine data models to support Power BI reporting and advanced analytics
 - Partner with analytics teams to deliver high-quality datasets and reporting solutions
 - Ensure data quality, reliability, and consistency via validation frameworks and monitoring systems
 - Optimize pipeline, storage, and compute resources within the Azure ecosystem
 - Implement and uphold data governance practices, including lineage, cataloging, and comprehensive documentation
 - Support CI/CD processes for seamless deployment of data engineering workflows


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