Lead Data Engineer
Tasks
- Apply security controls for data platforms
- Build AWS based data platform
- Collaborate with data product leaders
- Create data governance and catalog capabilities
- Design and optimize REST APIs and GraphQL APIs
- Design data ingestion transformation and distribution frameworks
- Develop ETL ELT pipelines for batch and streaming
- Establish data engineering best practices
- Implement data quality controls and reliability safeguards
- Implement microservices with containerization
- Implement scalable data solutions
- Integrate generative AI and agentic AI into data workflows
- Prevent production incidents
- Set up CI/CD and infrastructure-as-code
Perks/Benefits
- Comprehensive healthcare
- Employee resource groups
- Global parental leave
- Learning and development opportunities
- Mentorship programs
- Paid volunteer days
- Retirement planning
- Tuition reimbursement
- Work life balance hybrid flexibility
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 | Apache Kafka | Apache Spark | ArgoCD | Aurora | CI/CD | Collibra | Cost governance | Data Management | Databricks | Denodo | Docker | ELT | ETL | FastAPI | Git | GitHub Actions | GraphQL | IAM | Informatica | Informatica Master Data Management | Infrastructure as Code | JSON | Kafka Avro | Kubernetes | Master Data | Master Data Management | Microservices | Observability | OpenTelemetry | Pandas | PySpark | Python | REST APIs | Redis | SLOs | Snowflake | Starburst | Step Functions | VPC | Valkey | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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