Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown", offering a pay rate of "unknown". Required skills include 5+ years in SQL and Python, 3+ years in Azure services, and experience with GIT and CI/CD pipelines. Preferred certifications are "Microsoft Certified: Azure Data Engineer Associate" and "Databricks Certified Data Engineer Associate or Professional".
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
520
🗓️ - Date discovered
May 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Dallas, TX
🧠 - Skills detailed
#GIT #Data Storage #Databricks #Azure SQL #Data Pipeline #SQL (Structured Query Language) #Azure #Vault #Programming #SQL Server #.Net #Azure Databricks #Data Engineering #Cloud #Storage #Logic Apps #Azure cloud #Data Lake #Azure Data Factory #Python #ADLS (Azure Data Lake Storage) #Database Management #"ETL (Extract #Transform #Load)" #Database Schema #Azure ADLS (Azure Data Lake Storage) #Data Integration #Scala #ADF (Azure Data Factory)
Role description
Technical Skills:
• Programming & Tools:
• 5+ years of experience in SQL, Python. .Net is a plus.
• 3+ years of experience in Azure cloud services, including:
• Azure SQL Server
• Azure Data Factory (ADF)
• Azure Databricks (highlighted expertise)
• Azure Data Lake Storage (ADLS)
• Azure Key Vault
• Azure Functions
• Logic Apps
• 3+ years of experience in GIT and deploying code using CI/CD pipelines.
• Certifications (Preferred):
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate or Professional
Responsibilities:
1. Data Pipeline Development:
• Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources.
1. Data Integration:
• Integrate data from multiple sources, ensuring consistency, quality, and reliability.
1. Database Management:
• Design, implement, and optimize database schemas and structures to support data storage and retrieval.
1. ETL Processes:
• Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
Technical Skills:
• Programming & Tools:
• 5+ years of experience in SQL, Python. .Net is a plus.
• 3+ years of experience in Azure cloud services, including:
• Azure SQL Server
• Azure Data Factory (ADF)
• Azure Databricks (highlighted expertise)
• Azure Data Lake Storage (ADLS)
• Azure Key Vault
• Azure Functions
• Logic Apps
• 3+ years of experience in GIT and deploying code using CI/CD pipelines.
• Certifications (Preferred):
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate or Professional
Responsibilities:
1. Data Pipeline Development:
• Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources.
1. Data Integration:
• Integrate data from multiple sources, ensuring consistency, quality, and reliability.
1. Database Management:
• Design, implement, and optimize database schemas and structures to support data storage and retrieval.
1. ETL Processes:
• Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
