Ampstek
Azure Data Engineer (Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Atlanta, GA, with a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years of experience, proficiency in Azure Synapse Analytics and PySpark, and knowledge of Data Lake architecture.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#Azure Synapse Analytics #Apache Spark #Azure #Spark (Apache Spark) #Spark SQL #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Synapse #Data Engineering #Data Processing #Data Lake #PySpark
Role description
Job Title: Data Engineer
Location:Atlanta, GA 30313
Implementation: Infosys
Must Have Skills:
⦁ Azure synapse analytics
⦁ Pyspark
Nice to Have Skills:
⦁ Microsoft Fabric
Detailed Job Description:
⦁ Strong hands-on experience with Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric
⦁ Deep understanding of Apache Spark architecture and distributed data processing concepts
⦁ Strong knowledge of Data Lake architecture, including Medallion Architecture
⦁ Hands-on experience in PySpark and Spark SQL for data transformation and processing
⦁ Solid communication skills with the ability to work effectively with cross-functional teams
⦁ Strong problem-solving and troubleshooting skills in data engineering environments
Minimum Years of Experience:
⦁ 8+ years
Thanks and Regards
scott@ampstek.com
Job Title: Data Engineer
Location:Atlanta, GA 30313
Implementation: Infosys
Must Have Skills:
⦁ Azure synapse analytics
⦁ Pyspark
Nice to Have Skills:
⦁ Microsoft Fabric
Detailed Job Description:
⦁ Strong hands-on experience with Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric
⦁ Deep understanding of Apache Spark architecture and distributed data processing concepts
⦁ Strong knowledge of Data Lake architecture, including Medallion Architecture
⦁ Hands-on experience in PySpark and Spark SQL for data transformation and processing
⦁ Solid communication skills with the ability to work effectively with cross-functional teams
⦁ Strong problem-solving and troubleshooting skills in data engineering environments
Minimum Years of Experience:
⦁ 8+ years
Thanks and Regards
scott@ampstek.com
