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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 developing scalable data pipelines using Python, Java, or Scala, while ensuring data quality and integrity through effective monitoring and validation. Proficient in modern data frameworks and cloud data services, with a strong focus on optimizing performance and cost efficiency.
Highest-signal resume keywords
Data Pipeline DevelopmentModern Data FrameworksSQL And NoSQL DatabasesContainerization And OrchestrationObservability And Monitoring Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScalaSQLNoSQLSparkKafkaFlinkDockerKubernetes
Soft Skills
Strong CommunicationProblem-SolvingCollaborative Teamwork
Tools & Technologies
Microsoft Fabric NotebooksDatadogCI/CD PipelinesAzureAWS
Industry Keywords
Data QualityData IntegrityData ModelingMetadata ManagementRegulatory Compliance
Tech Stack
Tools & technologiesAWSAzureCloudDockerJavaJenkinsKafkaKubernetesNoSQLPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, develop, and enhance scalable data pipelines and data processing systems
- Build reusable ingestion, transformation, and storage patterns for product and analytical needs
- Integrate data from APIs, databases, event streams, and third-party systems
- Implement data models and schemas for unified, consistent views of business operations
- Apply version control, testing, CI/CD, and automated deployments
- Ensure data quality, integrity, and reliability through validation, monitoring, and observability
- Optimize data workflows for performance, cost efficiency, and operational resilience
- Document data flows, lineage, and technical components
- Collaborate with product managers, engineers, and analysts to understand data requirements
- Participate in iteration planning, daily standups, retrospectives, and product ceremonies
- Contribute to metadata management, data lineage, privacy, security, and regulatory compliance
- Evaluate new technologies, frameworks, and patterns to improve data infrastructure
- Share knowledge and mentor less experienced engineers
Requirements
What you’ll need- Strong proficiency with data pipeline development in Python, Java, or Scala
- Experience with modern data frameworks (Spark, Kafka, Flink, dbt, or equivalent)
- Solid understanding of SQL and NoSQL databases and data modeling principles
- Ability to optimize SQL, pipelines and storage for performance and cost
- Experience building batch and/or streaming data solutions
- Experience using Microsoft Fabric Notebooks to develop, debug, and operationalize data engineering workflows
- Experience with containerization and orchestration tools (Docker, Kubernetes)
- Experience with observability and monitoring tools (Datadog preferred)
- Ability to work in collaborative, iterative, product-centric team environments
- Strong communication and problem-solving skills
- Preferred: experience with cloud data services (Azure, AWS)
- Preferred: hands-on experience with Microsoft Fabric components, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, and Semantic Models
- Preferred: familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.)
- Preferred: performance tuning for data pipelines, databases, and queries
- Preferred: familiarity with generative and agentic AI tools to improve engineering productivity
Benefits
Comp & perks- Diversity and inclusion embedded in Atos's DNA
- Fair work environment
- Atos ESG and CSR commitment