--- title: Senior Data Software Engineer with AWS, LLM, PySpark at EPAM Systems description: We are seeking a highly motivated Senior Data Software Engineer to design, build, and maintain modern cloud-based data platforms while enabling the next generation of AI and Copilot solutions. The ide --- # Senior Data Software Engineer with AWS, LLM, PySpark **Company:** EPAM Systems **Location:** Georgia **Posted:** 2026-09-03 **Apply by:** 2026-10-18 [Apply / View original posting](https://www.linkedin.com/jobs/view/4461901778) ## Job description We are seeking a highly motivated Senior Data Software Engineer to design, build, and maintain modern cloud-based data platforms while enabling the next generation of AI and Copilot solutions. The ideal candidate will have strong expertise in AWS data ecosystems, PySpark, and experience developing AI-powered solutions using large language models and Generative AI applications. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Design and implement scalable ETL/ELT pipelines Build and optimize data ingestion frameworks from APIs, databases, SaaS applications, and streaming sources Develop data models to support analytics, reporting, AI, and machine learning workloads Implement data quality monitoring, lineage, and governance controls Support enterprise lakehouse and data warehouse initiatives Build serverless and event-driven data processing solutions using AWS Glue, S3, Athena, Redshift, Lambda, EventBridge, and IAM Optimize cloud infrastructure costs and performance Integrate Generative AI and LLM-based capabilities into enterprise data workflows Support Agentic AI and workflow orchestration initiatives Implement CI/CD pipelines and automate deployments using Azure DevOps and GitHub Actions Support Infrastructure as Code using Terraform or Bicep Monitor solution health and performance Requirements 3+ years of working experience with AWS data technologies 1+ year of working experience with Generative AI, LLMs, or Copilot Studio Experience in Agile product delivery teams Proficiency in Python, SQL, PySpark, and Spark SQL Expertise in AWS Glue, S3, Athena, Redshift, Lambda, and IAM Familiarity with Bedrock Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and LLM integration Background in working with SQL Server and PostgreSQL English proficiency at B2 level or higher Nice to have Familiarity with Azure Data Factory, Azure Synapse, and Azure Databricks Knowledge of Azure SQL, Azure Data Lake Gen2, and Microsoft Fabric Familiarity with Azure OpenAI and Azure Functions Skills in Snowflake and Cosmos DB Background in Healthcare, Life Sciences, MedTech, or Pharmaceutical industries Experience integrating enterprise applications such as SAP, Salesforce, or ServiceNow Exposure to Microsoft Fabric and Azure AI Foundry We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=Senior+Data+Software+Engineer+with+AWS%2C+LLM%2C+PySpark) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Data Software Engineer with AWS, LLM, PySpark","description":"

We are seeking a highly motivated Senior Data Software Engineer to design, build, and maintain modern cloud-based data platforms while enabling the next generation of AI and Copilot solutions. The ideal candidate will have strong expertise in AWS data ecosystems, PySpark, and experience developing AI-powered solutions using large language models and Generative AI applications. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Design and implement scalable ETL/ELT pipelines Build and optimize data ingestion frameworks from APIs, databases, SaaS applications, and streaming sources Develop data models to support analytics, reporting, AI, and machine learning workloads Implement data quality monitoring, lineage, and governance controls Support enterprise lakehouse and data warehouse initiatives Build serverless and event-driven data processing solutions using AWS Glue, S3, Athena, Redshift, Lambda, EventBridge, and IAM Optimize cloud infrastructure costs and performance Integrate Generative AI and LLM-based capabilities into enterprise data workflows Support Agentic AI and workflow orchestration initiatives Implement CI/CD pipelines and automate deployments using Azure DevOps and GitHub Actions Support Infrastructure as Code using Terraform or Bicep Monitor solution health and performance Requirements 3+ years of working experience with AWS data technologies 1+ year of working experience with Generative AI, LLMs, or Copilot Studio Experience in Agile product delivery teams Proficiency in Python, SQL, PySpark, and Spark SQL Expertise in AWS Glue, S3, Athena, Redshift, Lambda, and IAM Familiarity with Bedrock Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and LLM integration Background in working with SQL Server and PostgreSQL English proficiency at B2 level or higher Nice to have Familiarity with Azure Data Factory, Azure Synapse, and Azure Databricks Knowledge of Azure SQL, Azure Data Lake Gen2, and Microsoft Fabric Familiarity with Azure OpenAI and Azure Functions Skills in Snowflake and Cosmos DB Background in Healthcare, Life Sciences, MedTech, or Pharmaceutical industries Experience integrating enterprise applications such as SAP, Salesforce, or ServiceNow Exposure to Microsoft Fabric and Azure AI Foundry We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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