Azure Data Engineer - Databricks / Synapse / ADF

We are seeking a hands-on Azure Data Engineer to design, build, optimize, and support modern data pipelines and analytics solutions in Azure. This role is ideal for someone who can work within an existing environment, assess current tools and data flows, and help recommend improvements to data architecture and data models.

The right candidate will bring strong experience with Azure Data Factory, Databricks, Synapse Analytics, Azure storage solutions, and SQL/Python/Scala, along with the ability to translate business and technical requirements into scalable data solutions. Experience supporting digital marketing or ecommerce data environments is a strong plus.

Required Qualifications

• 5-10 years of relevant experience in data engineering

• Strong hands-on experience with Azure Data Factory (ADF), Databricks, and Synapse Analytics

• Strong programming/scripting skills in SQL and Python or Scala

• Experience with Azure Cosmos DB and other Azure-based data storage solutions

• Experience building, modifying, and supporting cloud-based data pipelines and data integration solutions

• Ability to assess existing tools and data flows and recommend better approaches or improved data models

• Strong understanding of data transformation, ETL/ELT, and data engineering best practices

• Ability to work independently in a complex environment and solve ambiguous data challenges

Preferred Qualifications

• Experience working with digital marketing data, customer data, or ecommerce data

• Experience supporting analytics, reporting, or customer behavior data platforms

• Exposure to modern cloud data architecture, dimensional modeling, and data platform optimization

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows using Azure Data Factory, Databricks, and Synapse Analytics

• Develop and optimize data ingestion, transformation, and integration processes across multiple Azure data platforms

• Work with structured and semi-structured data in cloud-based storage environments, including Azure Cosmos DB and other Azure data storage technologies

• Analyze existing tools, pipelines, and data flows to identify gaps, dependencies, and opportunities for improvement

• Recommend and help define improved data models, architecture, and engineering best practices

• Partner with business and technical teams to support reporting, analytics, and downstream data consumption needs

• Write and maintain robust code for data transformation and automation using SQL, Python, and/or Scala

• Support testing, validation, monitoring, and performance tuning of data pipelines and data platforms

• Contribute to data quality, reliability, and operational support within the Azure data ecosystem

  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.

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