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Sr. Data Engineer

Aita Consulting Services,Inc.Dallas, TX🇺🇸United StatesPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
20 hours ago
SQLAgileAzureDatabricksPower BI

Job Description

Hybrid Position - 3 Days Onsite (Tue, Wed, Thu)
 
Interview process: There will be 3-4 round interviews. The first one being a screening, there will be 1-2 technical/coding interviews both virtual, a final in person interview.
 
Top 3 Skills: Azure, Pyspark, Databricks, Spark SQL

Nice to Have Skills: Airline Domain Knowledge
 
Job Description:
Describe a great candidate that you are looking for and what skills and experience they will have:
  • 7+ years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
  • 7+ years of data analytics experience using SQL
  • 7+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
Description:
  • 7+ Years of experience required
  • Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
  • Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools
  • Perform multiple aspects involved in the development lifecycle – design,ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, alerting, defect fixes and post production support.
  • Develop technical solutions and collaborate within a team environment as well as work independently
  • Be a part of a DevOps team that completely owns and supports their product
  • Implement batch and streaming data pipelines using cloud technologies
  • Follow coding standards, best practices and privacy and security guidelines defined by AA architecture and be part of multi-functional technical and domain skills team
     

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