

Nexvant Solutions
Sr Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer with 8+ years of experience, specializing in AWS, Glue, PySpark, and SQL. Contract length is "unknown," with a pay rate of "unknown." Expertise in ETL development and data integration is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 15, 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
San Francisco Bay Area
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🧠 - Skills detailed
#Scala #S3 (Amazon Simple Storage Service) #AWS Glue #SQL (Structured Query Language) #QlikView #Data Engineering #Spark (Apache Spark) #GIT #"ETL (Extract #Transform #Load)" #Azure Data Platforms #AWS (Amazon Web Services) #Data Modeling #Data Pipeline #Redshift #PySpark #Qlik #Azure #Python #Data Integration
Role description
Key Skills & Experience:
• 8+ yrs of Data Engineering Experience
• Expertise in AWS, Glue, PySpark, Redshift/S3, Data Modelling, Git
• Proven experience in ETL / data pipeline development and data integration (FLEX, Agiloft, CARS)
• Proficient in SQL, Python, and QlikView / Qlik Sense data modeling
• Hands-on with data validation, cleansing, and performance optimization
• Familiar with AWS / Azure data platforms and analytics data flows
What You’ll Do:
• Design and manage ETL pipelines and data models using AWS (Glue, Redshift, S3).
• Collaborate with analytics teams to optimize data validation, cleansing, and integration.
• Build scalable data solutions integrating with systems like FLEX, Agiloft, CARS.
Key Skills & Experience:
• 8+ yrs of Data Engineering Experience
• Expertise in AWS, Glue, PySpark, Redshift/S3, Data Modelling, Git
• Proven experience in ETL / data pipeline development and data integration (FLEX, Agiloft, CARS)
• Proficient in SQL, Python, and QlikView / Qlik Sense data modeling
• Hands-on with data validation, cleansing, and performance optimization
• Familiar with AWS / Azure data platforms and analytics data flows
What You’ll Do:
• Design and manage ETL pipelines and data models using AWS (Glue, Redshift, S3).
• Collaborate with analytics teams to optimize data validation, cleansing, and integration.
• Build scalable data solutions integrating with systems like FLEX, Agiloft, CARS.