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Senior Data Engineer
Review ALLSenior Data Engineer responsible for optimizing data pipelines and maintaining data quality. Collaborating on data strategies and implementing analytical models for business needs.
Tech Stack
Tools & technologiesAWSETLGrafanaKafkaKubernetesPrometheusPythonSQLTerraformUnity
About the role
Key responsibilities & impact- Use of Claude Code to accelerate engineering, orchestration of agentic workflows, and integration via MCP
- Develop and optimize scalable, reliable, and efficient data pipelines
- Implement processes and tools to ensure data quality, accuracy, and consistency, as well as documentation throughout the data lifecycle
- Work with large volumes of heterogeneous data, transforming them into insights to support decision-making
- Identify opportunities to optimize workflows and recommend improvements to the existing data infrastructure
- Build and maintain analytical models (Gold layer) that support dashboards, reports, and data products for business teams
Requirements
What you’ll need- Strong knowledge of data engineering tools such as Python and SQL
- Experience with AI-assisted development tools (Claude Code, Cursor)
- Experience with layered data platform architecture (Medallion/Lakehouse), including CDC ingestion, batch processing, data catalog, and governance
- Experience with AWS and Databricks platforms
- Hands-on experience with data storage systems (FTP, S3, Delta Lake, Unity Catalog)
- Practical experience maintaining data pipelines in production environments
- Experience with DuckDB
- Experience with MCP and Claude Code for automating code review and applying AI governance to data
- Knowledge of data integration (ETL/ELT) and event-driven architecture (Kafka)
- Knowledge of data for LLMs/agents
- Knowledge of data modeling
- Familiarity with agentic workflows
- Familiarity with GitOps
- Nice to have: Experience with observability tools such as Prometheus, Grafana, or AWS CloudWatch
- Experience with IaC tools (e.g., Terraform, Pulumi, Databricks Asset Bundles)
- Experience with container orchestration, such as Kubernetes, for data pipelines
- Experience monitoring data pipelines
- Experience migrating from batch to streaming
- Experience working with Fintech
Benefits
Comp & perks- We are looking for a Senior Data Engineer who is proactive, communicative, and collaborative, and who works well in a team.
- We value someone who brings positive energy to the workplace, is willing to share knowledge, and contributes to collective success.
ATS Keywords
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Hard Skills & Tools
PythonSQLClaude CodeCursorMedallion architectureLakehouse architectureAWSDatabricksDuckDBETL