

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 12+ years of experience, including 4+ years in Databricks. It's a hybrid position located in North Carolina, offering a competitive pay rate. Key skills include Azure Data Factory, ETL tools, and Azure Cloud services.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 15, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Charlotte, NC
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π§ - Skills detailed
#NoSQL #VPN (Virtual Private Network) #Security #Data Migration #Data Warehouse #SQL Server #SSIS (SQL Server Integration Services) #"ETL (Extract #Transform #Load)" #Storage #ADF (Azure Data Factory) #SQL (Structured Query Language) #CLI (Command-Line Interface) #Azure Blob Storage #Azure cloud #Azure #Databases #Data Engineering #Azure CLI (Azure Command Line Interface) #Redis #SSRS (SQL Server Reporting Services) #Oracle #Network Security #Replication #DMS (Data Migration Service) #Database Migration #Azure SQL Database #Azure SQL #BI (Business Intelligence) #JSON (JavaScript Object Notation) #Migration #Azure SQL Data Warehouse #Azure Data Factory #ADLS (Azure Data Lake Storage) #Azure Service Bus #Databricks #Cloud #Data Lake
Role description
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Job Title: Azure Data Engineer with Bricks
Location: North Carolina
Experience: 12+
Hybrid role- Twice in a week
Job Description:
β’ 4+ years of experience in Databricks is must
β’ IT professional experience in Azure Cloud over 7 years working as Azure Developer
Worked on multiple projects as developer using Data factory from data receiving, validation, transform and then publish
Worked on Data Factory pipelines and AppLogic after gathering and translating end user requirements
Ability to recreate existing legacy application logic and functionality into Azure Data Factory/Data Lake, SQL Database and SQL Datawarehouse environment
Good to have:
Experience managing databases, Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle, Data Warehouse etc.
Experience in implementing hybrid connectivity between Azure and on-premise using
Plan and Develop roadmaps and deliverables to advance the migration of existing solutions on-premise systems/applications to Azure cloud
Experience with Azure transformation projects and Azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory (ADF), SSIS
Experience in developing roadmaps and deliverables to advance the migration of existing solutions on-premise systems/applications to Azure cloud
Experience in establishing Data Factory development standards and best practices
Skill needed:
ETL Tools: Azure Data Factory (ADF), Azure Database migration service (DMS), ETL SQL server integration services (SSIS), SQL server reporting services (SSRS), ETL extract transformation and load, Business Intelligence (BI), BCP.
Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), Data Migration service (DMS), Azure SQL Data, Elastic Pools, Geo Replication, Geo restore, JSON, ARM template, SQL Data Synch, Azure Cli, Azure SQL Analytics, Azure Network components (virtual network, network security group, User defined Route, Gateway, Load Balancer etc, Virtual .machines, Traffic manager, VPN
EEO Statement:
We are proud to be an Equal Employment Opportunity (EEO) and Affirmative Action employer. We at HL Solutions does not discriminate based on Race, Religion, Color, National origin, Sex, Sexual orientation, Gender identity, Gender expression, Age, and Disability status.