Job description

Job Title: Azure Data Engineer (Azure Data Factory & Azure Data Lake) Position Overview Build and maintain scalable, cloud-based data integration and storage solutions using Microsoft Azure services. This role focuses on developing reliable data pipelines, managing enterprise-scale data lakes, implementing ETL/ELT workflows, and supporting cloud-based analytics and data warehousing solutions. The ideal candidate brings expertise in Azure Data Factory, Azure Data Lake Storage, data transformation technologies, and cloud data engineering practices. What You'll Do / Key Responsibilities • Design, develop, and maintain data pipelines using Azure Data Factory. • Build and manage enterprise-scale data lakes using Azure Data Lake Storage. • Develop ETL/ELT workflows to ingest data from multiple sources, including databases, APIs, flat files, and cloud applications. • Implement data transformation processes using Mapping Data Flows, SQL, and Spark technologies. • Monitor, troubleshoot, and optimize data pipelines for performance and reliability. • Configure incremental data loads, Change Data Capture (CDC), and data validation processes. • Collaborate with data analysts, business stakeholders, and development teams to understand data requirements. • Design data models and support data warehousing solutions. • Implement security, governance, and access controls for cloud data platforms. • Create technical documentation and maintain data architecture standards. • Support the migration of on-premises data solutions to Azure cloud environments. Required Qualifications • Expertise in Azure Data Factory for data pipeline development and maintenance. • Experience with Azure Data Lake Storage and enterprise-scale data lakes. • Experience developing ETL/ELT workflows for data ingestion from multiple sources. • Knowledge of Mapping Data Flows, SQL, and Spark technologies for data transformation. • Experience with incremental data loads, Change Data Capture (CDC), and data validation. • Ability to troubleshoot and optimize data pipelines for performance and reliability. • Knowledge of data modeling, data warehousing, and cloud data platform security and governance. • Experience supporting on-premises data migration to Azure cloud environments. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #AzureDataEngineer #AzureDataFactory #AzureDataLake #ADLS #ADF #ETL #ELT #SQL #ApacheSpark #DataEngineering #CloudData #DataWarehousing #ChangeDataCapture #MicrosoftAzure #CloudMigration #LI-NS1

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Must-haves

Job Title: Azure Data Engineer (Azure Data Factory & Azure Data Lake)
Position Overview
The ideal candidate brings expertise in Azure Data Factory, Azure Data Lake Storage, data transformation technologies, and cloud data engineering practices.
What You'll Do / Key Responsibilities
Design, develop, and maintain data pipelines using Azure Data Factory.
Build and manage enterprise-scale data lakes using Azure Data Lake Storage.
Develop ETL/ELT workflows to ingest data from multiple sources, including databases, APIs, flat files, and cloud applications.
Implement data transformation processes using Mapping Data Flows, SQL, and Spark technologies.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Configure incremental data loads, Change Data Capture (CDC), and data validation processes.
Collaborate with data analysts, business stakeholders, and development teams to understand data requirements.
Design data models and support data warehousing solutions.
Implement security, governance, and access controls for cloud data platforms.
Create technical documentation and maintain data architecture standards.
Support the migration of on-premises data solutions to Azure cloud environments.
Expertise in Azure Data Factory for data pipeline development and maintenance.
Experience with Azure Data Lake Storage and enterprise-scale data lakes.
Experience developing ETL/ELT workflows for data ingestion from multiple sources.
Knowledge of Mapping Data Flows, SQL, and Spark technologies for data transformation.
Experience with incremental data loads, Change Data Capture (CDC), and data validation.
Ability to troubleshoot and optimize data pipelines for performance and reliability.
Knowledge of data modeling, data warehousing, and cloud data platform security and governance.
Experience supporting on-premises data migration to Azure cloud environments.
What Makes HTC A Great Place To Build Your Future

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None flagged.

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Keywords to mirror

azuresql

Platform: htc-global
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness

Professional Development