Key skills
PythonSQLGoogle BigQueryCloud ComposerApache AirflowVertex AI PipelinesTableauData Architecture Patterns - MedallionData Architecture Patterns - Star SchemaData Architecture Patterns - Data VaultGoogle Cloud Platform (GCP)Google Cloud Storage (GCS)Google Cloud FunctionsGitGitLabAIMLData EngineeringAnalyticsBigQueryAirflowGCPTerraformVaultCloud FunctionsGCSVertex AIcomposerVersion ControlCI/CDCommunication
About this role
Genesis10 is currently seeking a Data Engineer for a Major Financial Institution in Cleveland, OH. This role involves owning the full data lifecycle, from pipeline development to creating polished Tableau dashboards, requiring strong analytics capabilities and proficiency in Python, SQL, and Tableau.
Responsibilities:
- Design and manage datasets in Google BigQuery, including partitioning, clustering, and cost-optimization techniques
- Orchestrate complex, production-grade data pipelines using Cloud Composer (Apache Airflow)
- Build and maintain Vertex AI Pipelines for ML workflows and data transformation
- Design layered data architectures using patterns such as Medallion, Dimensional Modeling, and Data Vault
- Build modular, multi-purpose datasets and apply best practices for naming conventions, schema organization, and documentation
- Develop production-quality Tableau dashboards, from data source configuration to interactive visual design
- Translate business questions into clear, intuitive visualizations for non-technical stakeholders
Requirements:
- 5+ years in a data engineering role, with meaningful GCP/BigQuery experience
- Advanced proficiency in Python and SQL as daily working languages
- Deep, hands-on experience with Google BigQuery, Cloud Composer (Apache Airflow), and Vertex AI Pipelines
- Demonstrated experience designing and maintaining shared, reusable data models in an enterprise environment
- Hands-on experience building production-quality Tableau dashboards
- Familiarity with data architecture patterns including Medallion, star schema, and Data Vault
- Strong communication skills to work with cross-functional teams, gather requirements, and translate them into scalable data solutions
- Technical Stack: GCP, BigQuery, Cloud Composer, Vertex AI Pipelines, Tableau, Python, SQL, GCS, Cloud Functions
- Experience with version control using Git/GitLab
- Experience with Terraform
- Familiarity with CI/CD practices for data pipelines and infrastructure-as-code concepts
- Portfolio or examples of Tableau dashboards built on well-structured data layers