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Software Developer - Alpharetta, GA (205698) bei Amdocs

Amdocs · Alpharetta, Vereinigte Staaten Von Amerika · Onsite

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Career Opportunities: Software Developer - Alpharetta, GA (205698)

Requisition ID 205698 - Posted  - United States - Alpharetta - Managerial - No

Job ID: 205698 
Required Travel :No Travel 
Managerial - No
Location: USA-GA, Alpharetta, 500 NorthPoint (CU) 

Who are we?

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com 

At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

 

 

In one sentence

Responsible for design, development, modification, debug and/or maintenance of software systems.

What will your job look like?

• Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using Databricks on Azure
• Build and maintain modern data architectures (Data Lake, Data Warehouse, Lakehouse) for real-time streaming and batch processing on Azure
• Implement data integration solutions for large-scale datasets across diverse data sources using Delta Lake and other data formats
• Create feature stores and data preparation workflows for machine learning applications on Azure
• Develop and maintain data quality frameworks and implement data validation checks
• Collaborate with data scientists, ML engineers, analysts, and business stakeholders to deliver high-quality, production-ready data solutions
• Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability
• Implement data governance, security, and compliance standards across all data processes
• Create and maintain comprehensive technical documentation for data pipelines and architectures
 

All you need is...

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Data Architecture: Deep understanding of Data Lake, Data Warehouse, and Lakehouse concepts with hands-on implementation experience
• Databricks & Spark: 3+ years of hands-on experience with Databricks on Azure, Apache Spark (PySpark/Spark SQL), Delta Lake optimization
• Azure Platform: 3+ years working with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure ML Studio, Azure Databricks
• Programming: Strong proficiency in Python (including pandas, NumPy), SQL, and Unix/Linux shell scripting; experience with Java or Scala is a plus
• Streaming: 3+ years’ experience with Apache Kafka or Azure Event Hubs, Azure Stream Analytics
• DevOps: Hands-on experience with Git, CI/CD pipelines (Azure DevOps, GitHub Actions), and build tools (Maven, Gradle)
• Orchestration: Working knowledge of workflow schedulers (Apache Airflow, Azure Data Factory, Databricks Workflows, TWS)
• Problem-solving: Strong analytical and debugging skills with ability to work in agile/scrum environments
 

Preferred Qualifications:

• Experience with ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch) for data preparation and feature engineering on Azure
• Experience with vector databases (Azure AI Search, Pinecone, Weaviate, Milvus) and RAG (Retrieval Augmented Generation) architectures
• Experience with modern data transformation tools (DBT, Spark Structured Streaming on Databricks)
• Understanding of LLM applications, prompt engineering, and AI agent frameworks (Azure OpenAI Service, Semantic Kernel)
• Familiarity with containerization (Docker, Azure Kubernetes Service)
• Experience with monitoring and observability tools (Azure Monitor, Application Insights, Datadog, Grafana)
• Certifications in Databricks, Azure Data Engineer Associate, Azure AI Engineer, or Azure Solutions Architect

Why you will love this job:

• You will be challenged to design and develop new software applications.
• You will have the opportunity to work in a growing organization, with ever growing opportunities for personal growth.
• We provide stellar benefits including but not limited to, health, dental, unlimited vacation and parental leave!
 

 Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce                  

The job has been sent to

Job ID: 205698 
Required Travel :No Travel 
Managerial - No
Location: USA-GA, Alpharetta, 500 NorthPoint (CU) 

Who are we?

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com 

At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

 

 

In one sentence

Responsible for design, development, modification, debug and/or maintenance of software systems.

What will your job look like?

• Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using Databricks on Azure
• Build and maintain modern data architectures (Data Lake, Data Warehouse, Lakehouse) for real-time streaming and batch processing on Azure
• Implement data integration solutions for large-scale datasets across diverse data sources using Delta Lake and other data formats
• Create feature stores and data preparation workflows for machine learning applications on Azure
• Develop and maintain data quality frameworks and implement data validation checks
• Collaborate with data scientists, ML engineers, analysts, and business stakeholders to deliver high-quality, production-ready data solutions
• Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability
• Implement data governance, security, and compliance standards across all data processes
• Create and maintain comprehensive technical documentation for data pipelines and architectures
 

All you need is...

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Data Architecture: Deep understanding of Data Lake, Data Warehouse, and Lakehouse concepts with hands-on implementation experience
• Databricks & Spark: 3+ years of hands-on experience with Databricks on Azure, Apache Spark (PySpark/Spark SQL), Delta Lake optimization
• Azure Platform: 3+ years working with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure ML Studio, Azure Databricks
• Programming: Strong proficiency in Python (including pandas, NumPy), SQL, and Unix/Linux shell scripting; experience with Java or Scala is a plus
• Streaming: 3+ years’ experience with Apache Kafka or Azure Event Hubs, Azure Stream Analytics
• DevOps: Hands-on experience with Git, CI/CD pipelines (Azure DevOps, GitHub Actions), and build tools (Maven, Gradle)
• Orchestration: Working knowledge of workflow schedulers (Apache Airflow, Azure Data Factory, Databricks Workflows, TWS)
• Problem-solving: Strong analytical and debugging skills with ability to work in agile/scrum environments
 

Preferred Qualifications:

• Experience with ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch) for data preparation and feature engineering on Azure
• Experience with vector databases (Azure AI Search, Pinecone, Weaviate, Milvus) and RAG (Retrieval Augmented Generation) architectures
• Experience with modern data transformation tools (DBT, Spark Structured Streaming on Databricks)
• Understanding of LLM applications, prompt engineering, and AI agent frameworks (Azure OpenAI Service, Semantic Kernel)
• Familiarity with containerization (Docker, Azure Kubernetes Service)
• Experience with monitoring and observability tools (Azure Monitor, Application Insights, Datadog, Grafana)
• Certifications in Databricks, Azure Data Engineer Associate, Azure AI Engineer, or Azure Solutions Architect

Why you will love this job:

• You will be challenged to design and develop new software applications.
• You will have the opportunity to work in a growing organization, with ever growing opportunities for personal growth.
• We provide stellar benefits including but not limited to, health, dental, unlimited vacation and parental leave!
 

 Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce                  

Jetzt bewerben

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