Senior Data Software Engineer with AWS, LLM, PySpark

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.

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

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance
• Well-being events

WORKING ENVIRONMENT

• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’s Software Assurance Home Use Program (HUP)