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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong capabilities in Python development, AWS services, and data pipeline management, with a focus on building scalable and efficient platform solutions. Proficient in Infrastructure-as-Code practices and CI/CD pipeline implementation to enhance operational efficiency and reliability.
Highest-signal resume keywords
Python DevelopmentAWS ServicesData Pipeline ManagementInfrastructure-as-CodeCI/CD Pipeline Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLETLELTApache SparkTerraformCloudFormationData EngineeringAutomationMonitoring
Soft Skills
TroubleshootingAnalytical SkillsProblem-SolvingCollaborationAgile Development
Tools & Technologies
AWS S3AWS LambdaAWS GlueAWS AthenaAWS ECSAWS Step FunctionsAWS CloudWatchGitAzure DevOpsGitHub Enterprise
Certifications & Qualifications
AWS Solutions ArchitectAWS DeveloperAWS Data Engineer
Industry Keywords
Data IngestionData TransformationAnalyticsReportingData Lake ArchitectureMachine LearningAI WorkloadsCloud-Native ApplicationsOperational EfficiencyPlatform Automation
Tech Stack
Tools & technologiesApacheAWSAzureCloudETLPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Design, develop, and maintain platform services supporting data ingestion, transformation, analytics, and reporting
- Build reusable Python-based frameworks, utilities, and automation tools used across multiple product teams
- Develop platform capabilities enabling rapid onboarding of datasets and analytics workloads
- Improve platform reliability, scalability, and operational efficiency
- Develop and maintain data pipelines supporting ingestion and processing of enterprise data
- Build and optimize ETL/ELT solutions using Python, Spark, and AWS services
- Support data lake architecture and modernization initiatives
- Develop Infrastructure-as-Code and platform automation solutions
- Build and maintain CI/CD pipelines and deployment frameworks
- Implement monitoring, observability, and operational tooling
- Automate platform provisioning, configuration, and service onboarding
- Create tooling, templates, and frameworks that simplify platform adoption
- Troubleshoot complex platform and data issues
- Help establish engineering best practices around testing, deployment, security, and maintainability
- Contribute to platform standards and architecture decisions
- Explore and implement AI-enabled solutions that improve platform capabilities and developer productivity
- Identify opportunities to leverage automation and machine learning within platform workflows
- Evaluate new cloud services and analytics technologies
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
- 2-5 years of software engineering, data engineering, or platform engineering experience
- Strong Python development skills with experience building production-grade applications and automation
- Hands-on experience developing solutions in AWS
- Experience with AWS services such as S3, Lambda, Glue, Athena, ECS, Step Functions, CloudWatch, and IAM
- Experience building and supporting data pipelines and cloud-native applications
- Strong SQL skills and experience working with large datasets
- Experience with Git-based source control and CI/CD pipelines
- Strong troubleshooting, analytical, and problem-solving skills
- Experience working within Agile development teams
- Preferred: Experience with Apache Spark and distributed data processing
- Preferred: Experience with Apache Iceberg, Delta Lake, or modern data lake architectures
- Preferred: Experience building Infrastructure-as-Code solutions using Terraform or CloudFormation
- Preferred: Experience developing APIs, platform services, or internal developer tooling
- Preferred: Experience implementing monitoring, observability, and operational automation
- Preferred: AWS certifications such as Solutions Architect, Developer, or Data Engineer
- Preferred: Experience supporting analytics, reporting, machine learning, or AI workloads
- Preferred: Familiarity with Azure DevOps and GitHub Enterprise
Benefits
Comp & perks- Annual incentive compensation program
- Medical coverage
- Dental coverage
- Vision coverage
- Wellness programs