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Internship Azure Data Factory Developer Jobs in Georgia

SyrenCloud LLC

Sr. Data Engineer (SSIS Must)

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps * Data modeling: Star schema, SCD Type 1 & 2, dimensional modeling fundamentals * Legacy EDW (SQL Server): SSIS package development and ...

New

Paul Hastings

Senior Data Engineer

Atlanta, GA

$194K/yr

... Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps. In this capacity, the Senior Data Engineer will: * Design, build and manage scalable data pipelines usingAzure Data Factory (ADF ...

Dlapiper

Data Engineer

Atlanta, GA

$110K - $132K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Caresoft Inc.

ETL Developer

Atlanta, GA · On-site

$70 - $74/hr

Title: ETL Developer Duration : Long Term Location: Atlanta, GA 30303 (Hybrid) Note: Local ... using Azure Data Factory. • Proficiency in SQL, Azure Synapse, Azure Data Lake, and Azure ...

Delta Dental Ins.

Senior Data Engineer

Alpharetta, GA

$160K - $165K/yr

Senior Data Engineer Location: 1130 Sanctuary Parkway, Alpharetta, GA 30009; Must live within ... Building ETL and data integration workflows using SAP Data Services, SSIS, and Azure Data Factory ...

DPR Construction

Data Engineering Lead- Finance

Atlanta, GA

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity ...

ACI Infotech

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

IT America Inc

Databricks Developer

Atlanta, GA · On-site

Databricks Developer Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... Experience with Azure cloud services (e.g., Azure Data Factory, Azure Data Lake Storage, Azure ...

Apex Informatics

DOE Database Developer

Atlanta, GA · On-site

... Years Azure Data Factory, SQL VMs, build and maintain ETL Required 2 Years Azure Data Warehouse ... developer for analytic reports Provide technical enablement to team members developing database ...

Apex Systems

Azure Integration Developer

Norcross, GA · On-site

$52 - $64.50/hr

Knowledge of Azure Data Factory or Databricks for data ingestion pipelines. * Microsoft Azure Developer Associate certification (AZ-204). * Familiarity with EDI standards (X12, HIPAA, HL7) or ERP ...

New

Aptean

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ... Familiarity with Git, branching, and CI/CD practices (Azure DevOps or GitHub Actions) * Exposure to ...

Womble Bond Dickinson

Software Engineer

Atlanta, GA · On-site

$72K - $121K/yr

Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory ... Use Git and Azure DevOps for version control, release management, and collaboration REQUIREMENTS:

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Internship Azure Data Factory Developer information

What does an Internship Azure Data Factory Developer do?

An Internship Azure Data Factory Developer assists in designing, building, and managing data pipelines using Microsoft Azure Data Factory. They work with data engineers and analysts to automate data flows, integrate data from various sources, and ensure data is efficiently processed for analytics and reporting. Interns often gain hands-on experience with cloud technologies, data transformation, and learn best practices in data management on the Azure platform.

What are the key skills and qualifications needed to thrive as an Internship Azure Data Factory Developer, and why are they important?

To thrive as an Internship Azure Data Factory Developer, you need foundational knowledge in data engineering, SQL, and cloud computing concepts, often supported by coursework in computer science or related fields. Familiarity with Microsoft Azure services, especially Azure Data Factory, and experience with tools like Power BI or Azure SQL Database are typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and solve data integration challenges. These skills and qualities are crucial for efficiently building data pipelines, ensuring data quality, and supporting business intelligence initiatives.

What is the difference between Internship Azure Data Factory Developer vs Data Engineer?

AspectInternship Azure Data Factory DeveloperData Engineer
Required CredentialsBasic understanding of Azure, data integration, and some certifications like Azure FundamentalsAdvanced degrees or certifications in data engineering, cloud platforms, or related fields
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, managing complex data pipelines and systems
Employer & Industry UsageUsed in tech companies, consulting firms, and organizations adopting Azure cloudCommon across industries requiring large-scale data processing and analytics

The Internship Azure Data Factory Developer role is an entry-level position focused on learning and supporting data integration tasks using Azure Data Factory. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining scalable data pipelines and systems. While the internship provides foundational experience, the Data Engineer role requires more advanced skills, experience, and certifications.

What types of projects or tasks can an Azure Data Factory Developer intern expect to work on during their internship?

As an Azure Data Factory Developer intern, you can expect to assist with building and maintaining data pipelines, integrating data from various sources, and automating data workflows. Typical tasks include developing data transformation logic, configuring linked services, and monitoring pipeline performance. Interns often collaborate closely with data engineers, analysts, and business intelligence teams, gaining hands-on experience with real-world datasets and cloud-based data solutions. This role provides valuable exposure to industry-standard tools, and strong performance may open up opportunities for full-time positions or advanced technical roles.
What are popular job titles related to Internship Azure Data Factory Developer jobs in Georgia? For Internship Azure Data Factory Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Internship Azure Data Factory Developer jobs in Georgia look for? The top searched job categories for Internship Azure Data Factory Developer jobs in Georgia are:
What cities in Georgia are hiring for Internship Azure Data Factory Developer jobs? Cities in Georgia with the most Internship Azure Data Factory Developer job openings:
Internship Azure Data Factory Developer jobs near you

Sr. Data Engineer (SSIS Must)

SyrenCloud LLC

Atlanta, GA • On-site

$110K - $132K/yr

Other

Posted 7 days ago

New

Job description

Senior Data Engineer + SSISRole overview

The Senior Data Engineer designs, builds, and delivers high-quality data products across Floor & Decor''s modern cloud data architecture, Databricks on Azure, while also supporting the legacy SQL Server enterprise data warehouse (EDW) through a time-boxed migration transition. This is a delivery-focused engineering role: the right candidate writes excellent code, takes full ownership of their solutions from design through production, and is energized by building data pipelines and products that business stakeholders directly depend on.

ResponsibilitiesCloud data product delivery (primary focus)
  • Design, build, and deliver data pipelines and data products on Databricks using Python, Spark, and Spark SQL following medallion architecture patterns.
  • Develop and maintain Delta Lake tables with appropriate SCD Type 1 and Type 2 change tracking patterns.
  • Implement and adhere to Unity Catalog standards for object naming, schema ownership, tagging, and access control.
  • Build and maintain orchestrated workflows using Databricks Jobs or Azure Data Factory.
  • Develop and enforce data quality checks, pipeline monitoring, and operational runbooks for production data products.
  • Collaborate with analytics engineers and data consumers to ensure data products meet reporting and analytical requirements.
  • Contribute to the evolution of reusable pipeline frameworks, utility libraries, and engineering standards.
Legacy SQL Server EDW - transition support
  • Support and maintain existing SQL Server EDW pipelines (SSIS and T-SQL) for ongoing operational reliability during the migration period.
  • Develop enhancements and fixes to legacy EDW objects as required by business priorities.
  • Participate in migration readiness activities such as profiling legacy tables and validating migrated data.
  • Apply sound engineering judgment about when to invest in legacy fixes vs accelerating migration.
RequirementsRequired qualifications<>Technical skills
  • Databricks & Spark: PySpark, Spark SQL, Delta Lake, Databricks Jobs, Databricks notebooks, Unity Catalog basics
  • Python: Production-grade Python for data pipelines
  • SQL (T-SQL & Spark SQL): Complex query writing, window functions, query optimization
  • Azure data services: Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps
  • Data modeling: Star schema, SCD Type 1 & 2, dimensional modeling fundamentals
  • Legacy EDW (SQL Server): SSIS package development and support
  • Compliance awareness: SOX ITcontrol concepts in data pipelines
  • Version control & DevOps: Git, CI/CD pipeline basics
Experience
  • 5+ years of data engineering experience, with at least 2 years delivering pipelines on a cloud platform
  • Demonstrated experience building production data pipelines
  • Experience with dimensional data modeling in an enterprise data warehouse context
  • Experience working in a compliance-sensitive data environment
Soft skills & behaviors
  • Delivery ownership
  • Clear communicator
  • Collaborative
  • Pragmatic quality mindset
  • Continuous learner
Preferred qualifications
  • Databricks Certified Data Engineer Associate or Professional certification
  • Experience with dbt for transformation layer development
  • Familiarity with Apache Airflow or equivalent workflow orchestration
  • Experience in retail, supply chain, or merchandising data domains
  • Exposure to data governance workflows
  • Bachelor''s degree in Computer Science or related field
How success is measured
  • Delivery quality
  • Delivery reliability
  • Production pipeline health
  • Stakeholder satisfaction
  • Migration contribution
  • Team contribution
  • Compliance adherence

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