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Internship Azure Data Factory Developer Jobs in Georgia

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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:

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Strong experience in ADLS, Data Lake, Delta Lake Gen II, Synapse, Azure data Factory, Azure data bricks * Data Processing, batch processing, data cleansing, DQ * Data Services like Azure analytics ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

... Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, * Developer ...

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Programming Proficiency in Python and SQL.Strong Communication Skills. Skills required: Digital : Microsoft Azure Digital : Databricks Data Build Tool Azure Data Factory Desirable Skills: Not listed ...

Azure Databrick with Anaplan

Atlanta, GA · On-site

$53 - $65.75/hr

... Factory and building scalable data pipelines on Azure The engineer will work closely with business Data Architects and crossfunctional teams to design develop and optimize data pipelines for ...

ETL Developer

Atlanta, GA · On-site

$49 - $64.25/hr

Client is seeking a skilled ETL Programmer with hands-on experience in Azure Data Factory (ADF) to design, develop, and maintain robust data pipelines and integration solutions. Key Responsibilities

ETL Developer[hybrid]

Atlanta, GA · On-site

$49 - $64.25/hr

Title: ETL Developer Interview Process: Web Cam Interview Only Interview: Video Duration: 5 months ... Design and implement ETL processes using Azure Data Factory, Data Flows, and Mapping Data Flows.

Master Data Management Engineer

Atlanta, GA

$110K - $132K/yr

Integrate Profisee with cloud platforms including Azure Data Factory, Azure SQL, and BigQuery ... Knowledge and direct experience working with Azure Purview, Azure DevOps (formerly MTFS ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid • Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, • Developer ...

PCA Data Engineer

Atlanta, GA

$110K - $132K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Database Developer Duration : Long Term (Hybrid) Location: Atlanta, GA 30334 Skills: Data ... Needs to be an expert in T-SQL SSIS and use of Stored Procedures Azure Data Factory, SQL VMs, build ...

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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:
Azure Data Engineer

Azure Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 11 days ago


Job description

Role: Data Engineer
Duration: FULL TIME (Accepting H1B Transfer )
Location: Atlanta, GA - On-Site ( Hybrid)
Job Description
Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements, be a SME for Azure Cloud and Databricks, bring Industry best practices to RT
Technical Skills, tools:
  • Azure Cloud technologies:
    • Must Have: 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:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,

Work Experience:
    • More than 10+ years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQL Server, and experience with other cloud providers
    • Minimum 8 years of experience working in IT department with Data & Analytics responsibilities
    • 4+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Expertise in creating streaming and batch workflows in Databricks Lakehouse using Pyspark and Spark SQL
    • Working experience with development and maintenance of data pipelines on the DataBricks platform in Azure
    • xpertise in creating parameterized streaming and batch data processing using Azure Synapse and Azure Data Factory
    • Experienced in delivering reporting solutions to stakeholders using tools like Power BI, Databricks SQL, Tableau and SSRS
    • Recent 4+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms

Work Experience: (continued)
    • 4+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus

Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)