TekValue IT Solutions
Sr. Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Azure Data Engineer in Dallas, TX, lasting over 6 months, with a pay rate of "unknown." Requires 12+ years of data engineering experience, 4+ years in Azure, strong SQL and Python skills, and Azure certification preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
September 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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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
#ML (Machine Learning) #SQL Queries #Data Ingestion #Data Engineering #SQL (Structured Query Language) #Cloud #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Data Bricks #Python #Azure #Data Lake #Data Pipeline #PySpark
Role description
Data Engineer
Dallas, TX
Long Term
Required Skills:·
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.
Data Engineer
Dallas, TX
Long Term
Required Skills:·
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.
