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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing cloud-based data pipelines and architectures, ensuring data quality and integrity while collaborating with stakeholders. Proficient in SQL and experienced in data engineering practices, including data lakes and warehouses.
Highest-signal resume keywords
Data EngineeringSQL SkillsCloud-Based Data PipelinesData WarehousingAzure Development
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 EngineeringSQLData PipelinesData WarehousesData LakesData ProcessingData TransformationCloud InfrastructureAzure SparkAzure SQL Pools
Soft Skills
Analytical SkillsStrategic ThinkingCreative Problem-SolvingCommunication Skills
Tools & Technologies
BicepTerraformARMCI/CDGitChatGPTGitHub CopilotFastAPI
Industry Keywords
SOXDataOpsBusiness IntelligenceData QualityData Integrity
Tech Stack
Tools & technologiesAzureCloudPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Perform duties in accordance with company policies, procedures, and internal controls such as SOX
- Design, implement, and maintain cloud-based data pipelines
- Collaborate with data engineers and stakeholders to translate requirements into scalable, reliable data platform architectures
- Evaluate and select cloud infrastructure and services for data storage, processing, and analytics
- Implement data ingestion pipelines from disparate data sources
- Ensure data quality, integrity, and timeliness
- Design and optimize data lakes, data warehouses, and data marts
- Implement data processing and transformation workflows using Azure Spark, Azure SQL Pools/data warehouses, and other cloud-native services
Requirements
What you’ll need- 3+ years’ experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field
- Strong SQL skills
- Experience with data pipelines, data platforms, data warehouses, data lakes, or similar data environments
- Experience gathering requirements from business stakeholders
- Ability to explain technical concepts clearly to technical and nontechnical audiences
- Strong analytical, strategic-thinking, and creative problem-solving skills
- Excellent written and verbal communication skills
- Hands-on Azure development beyond data pipelines is an advantage
- Experience with infrastructure-as-code tools such as Bicep, Terraform, or ARM is an advantage
- Experience with CI/CD, Git-based source control workflows, and automated deployment of data assets is an advantage
- Practical experience using AI coding assistants such as ChatGPT, GitHub Copilot/Codex is an advantage
- Exposure to RAG, agentic workflows, vector databases, LangChain, or LangGraph is an advantage
- Ability to build simple internal applications or APIs using Python or FastAPI is an advantage
Benefits
Comp & perks- Comprehensive health and wellness benefits
- Mentorship and continuing education opportunities
- Focused career goal setting
- Free LinkedIn Learning licenses
- Mentoring Program
- Geographically specific education support programs
- Inclusive, global workplace
- Work-life balance policies encouraging time off
- International relocation and permanent residency support