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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 optimizing data infrastructure, with a strong focus on building scalable data pipelines and ensuring data quality and compliance. Proficient in managing Kubernetes environments and utilizing Infrastructure as Code tools like Terraform.
Highest-signal resume keywords
Data Infrastructure DesignKubernetes ManagementPython ProficiencySQL ProficiencyInfrastructure as Code
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 Pipeline DevelopmentData Quality AssurancePerformance TuningBatch ProcessingStreaming Data SolutionsMicroservices ArchitectureData Lake ArchitectureWorkload AutoscalingData OrchestrationTerraform
Tools & Technologies
KEDAAirflowPrefectSnowflake
Industry Keywords
Data GovernanceDistributed SystemsCI/CDInfrastructure Best Practices
Tech Stack
Tools & technologiesAirflowDistributed SystemsKubernetesMicroservicesPythonSnowflakeSQLTerraform
About the role
Key responsibilities & impact- Design, build, and evolve the company’s data infrastructure
- Build complex, high-volume batch and near-real-time ingestion services
- Help evolve the platform’s streaming capabilities
- Design and implement data solutions for application requirements in a distributed microservices environment
- Develop and optimize large-scale batch and streaming data pipelines
- Ensure data quality, compliance, and governance
- Manage and optimize Kubernetes infrastructure using KEDA for dynamic resource scaling
- Own the full data stack lifecycle using Terraform and Kubernetes, from provisioning to application-level frameworks
- Provide technical guidance and drive best practices for infrastructure, CI/CD, testing, and system design
- Perform memory management and performance tuning for large-scale distributed systems
Requirements
What you’ll need- 5+ years of experience as a Data Platform/Infra Engineer
- Proven track record of building and operating scalable data infrastructure within Data Lake architectures
- Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA
- Strong proficiency in Python and SQL
- Hands-on experience with Infrastructure as Code, preferably Terraform
- Experience managing a data orchestration platform such as Airflow or Prefect
- Experience with Snowflake
Benefits
Comp & perks- Remote work for candidates in Athens metropolitan area