Lead Data Engineer
Tasks
- Build ETL and ELT pipelines for batch and streaming
- Define and execute AWS data platform vision
- Design and optimize REST and GraphQL APIs
- Drive data ingestion transformation and distribution architecture
- Ensure production reliability and prevent incidents
- Establish data quality and governance best practices
- Evaluate and adopt new data technologies
- Implement security and observability for data systems
- Integrate generative AI into data workflows
- Lead and mentor data engineering team
Perks/Benefits
- Flexible work arrangement
- Healthcare benefits
- Learning and development
- Matched charitable donations
- Paid volunteer days
- Parental leave
- Retirement planning
- Tuition reimbursement
Skills/Tech-stack
AWS | AWS Glue | AWS KMS | AWS Lambda | Alation | Amazon EKS | Amazon EMR | Amazon EventBridge | Amazon MSK | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon Step Functions | Apache Kafka | Apache Spark | Argo CD | ArgoCD | Aurora | Avro | CI/CD | Collibra | Containers | Cost governance | Data Catalog | Data Governance | Data Management | Data virtualization | Databricks | Denodo | ELT | ETL | FastAPI | Git | GitHub | GraphQL | IAM | Informatica | Infrastructure as Code | JSON | Kafka Schemas | Master Data | Master Data Management | Microservices | OpenTelemetry | Pandas | PySpark | Python | REST APIs | SLO | Secrets management | Snowflake | Starburst | Step Functions | VPC | Valkey Redis | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Engineering | Engineering Manager | Manager
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