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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing data pipelines using Snowflake, SAP HANA, and dbt, while integrating AI solutions and ensuring data quality and compliance. Proven ability to drive enterprise-scale integrations and modernization initiatives with a focus on Responsible AI and security.
Highest-signal resume keywords
Data EngineeringAI Solutions DevelopmentSnowflakeSAP HANAAdvanced SQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSolution ArchitectureAdvanced SQLPythonETL PipelinesControl-MSystem IntegrationAPIsGenerative AILarge-Scale Data Platform Modernization
Soft Skills
MentoringTroubleshootingCollaboration
Tools & Technologies
SnowflakeSAP HANADbtAWSAzureGoogle Cloud
Industry Keywords
Responsible AIAI SecurityGovernanceModel EvaluationEnterprise Compliance
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Build and optimize Snowflake, SAP HANA, and dbt data pipelines using advanced SQL and Python
- Design and integrate enterprise data engineering and AI solutions, including LLM, RAG, and AI Agent use cases
- Develop and manage complex system integrations and Control-M workflows across enterprise platforms
- Partner with architects, engineers, and business stakeholders to deliver secure, scalable, production-ready solutions
- Contribute to platform modernization, data quality, automation, and AI innovation across the enterprise
- Drive AI solutions from proof of concept through production and enterprise adoption
- Troubleshoot complex technical challenges and mentor others
Requirements
What you’ll need- Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field
- 5–10 years of experience in data engineering, solution architecture, or enterprise application development, including delivering AI/ML or Generative AI solutions
- Hands-on experience with Snowflake, SAP HANA, dbt, advanced SQL, and Python, including enterprise data pipelines and integrations
- Experience with LLMs, Generative AI, RAG, or AI Agents
- Exposure to AWS, Azure, or Google Cloud
- Experience delivering enterprise-scale integrations and modernization initiatives, including APIs, Control-M, system integration, data validation, and production deployment
- Experience with ETL pipelines and large-scale data platform modernization
- Understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations