Data Engineer

Indotronix Avani Group
Plano, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

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

Job 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

Requirements

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

Benefits & conditions

Work on high-visibility aerospace data projects with significant impact

  • Access to the latest Azure technologies and professional development resources
  • Collaborative, growth-focused team culture
  • Competitive compensation with full benefits (details provided upon interview)

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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