TekValue IT Solutions
Azure Data Engineer (Local to TX-Onsite Interview)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 12+ years of experience, including 4+ years in data engineering on Azure. Key skills include SQL, Python, and PySpark. Onsite in TX, contract length and pay rate are unspecified. Azure certification is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Bricks #Spark (Apache Spark) #Data Pipeline #Python #"ETL (Extract #Transform #Load)" #Data Engineering #ML (Machine Learning) #SQL (Structured Query Language) #Data Lake #PySpark #SQL Queries #Cloud #Azure #Data Ingestion
Role description
· 12+ Years of Data Engineer.
· 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools.
· Cloud data engineering experience on azure. Deep understanding of azure services like data factory, data bricks, and machine learning. Azure certification is a plus.
· Strong proficiency in SQL, python and pyspark. Proven ability to optimize SQL queries and performance tune data pipelines.
· Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion, processing, and extraction.
· Experience integrating multi-cloud services with on-premises technologies. Strong understanding of data modelling processes.
· Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
· 12+ Years of Data Engineer.
· 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools.
· Cloud data engineering experience on azure. Deep understanding of azure services like data factory, data bricks, and machine learning. Azure certification is a plus.
· Strong proficiency in SQL, python and pyspark. Proven ability to optimize SQL queries and performance tune data pipelines.
· Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion, processing, and extraction.
· Experience integrating multi-cloud services with on-premises technologies. Strong understanding of data modelling processes.
· Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
