Ledelsea
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Required skills include Azure databases, Databricks, Oracle, data transformations, CI/CD pipelines, and cloud computing. Desired experience is 15 years in relevant fields.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 31, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Minnesota, United States
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🧠 - Skills detailed
#Azure SQL #Azure Resource Manager #Data Access #Schema Design #Network Security #Oracle #Azure #Databases #Replication #Security #Documentation #Teradata #CLI (Command-Line Interface) #Data Lake #Data Engineering #Disaster Recovery #Azure Data Factory #Indexing #ADF (Azure Data Factory) #Data Warehouse #Databricks #Data Modeling #SQL (Structured Query Language) #Data Transformations #Azure CLI (Azure Command Line Interface) #Cloud #"ETL (Extract #Transform #Load)"
Role description
Tasks
• Develop and implement relational and non-relational databases in Azure.
• Develop and implement data transformations.
• Ensure data access patterns are optimized.
• Maintain necessary documentation.
• Coordinate with necessary teams to meet security standards.
• Implement disaster recovery solution.
• Provide knowledge transfer.
Qualifications
• Experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
• Experience with Databricks.
• Experience with Oracle databases.
• Strong experience developing and implementing data transformation solutions and cloud infrastructure integration.
• Strong experience coding and testing programs and scripts to load data using Azure data load utilities.
• Strong experience with CI/CD pipelines.
• Experience with cloud computing concepts.
• Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, and Azure CLI/PowerShell for infrastructure management.
• Experience in mentoring others in the needed technologies.
• Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
• Experience with role-based access control, encryption, and network security.
• Strong organizational and time management skills.
• Desired 15 years’ experience designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
• Knowledge of data concepts, data modeling, schema design, and indexing strategies.
• Knowledge of Azure SQL instances, managed instances, and elastic pools.
• Knowledge of Data Warehouse Administration and Teradata Data Warehouse.
Tasks
• Develop and implement relational and non-relational databases in Azure.
• Develop and implement data transformations.
• Ensure data access patterns are optimized.
• Maintain necessary documentation.
• Coordinate with necessary teams to meet security standards.
• Implement disaster recovery solution.
• Provide knowledge transfer.
Qualifications
• Experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
• Experience with Databricks.
• Experience with Oracle databases.
• Strong experience developing and implementing data transformation solutions and cloud infrastructure integration.
• Strong experience coding and testing programs and scripts to load data using Azure data load utilities.
• Strong experience with CI/CD pipelines.
• Experience with cloud computing concepts.
• Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, and Azure CLI/PowerShell for infrastructure management.
• Experience in mentoring others in the needed technologies.
• Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
• Experience with role-based access control, encryption, and network security.
• Strong organizational and time management skills.
• Desired 15 years’ experience designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
• Knowledge of data concepts, data modeling, schema design, and indexing strategies.
• Knowledge of Azure SQL instances, managed instances, and elastic pools.
• Knowledge of Data Warehouse Administration and Teradata Data Warehouse.
