Distinguished Data Engineer
Tasks
- Build data ecosystem roadmap for adoption governance and cost optimization
- Decompose complex problems into operational solutions
- Design and implement scalable fault tolerant cost effective data architectures
- Develop full stack applications with frontend and backend
- Drive non functional engineering for performance scalability and operability
- Ensure code quality and review critical repositories
- Ensure technical design and implementation quality
- Implement AWS security integration using IAM and KMS
- Integrate Databricks and Snowflake for processing and warehousing
- Mentor engineering teams on Databricks Snowflake and AWS
- Optimize performance for large scale data ingestion and processing
- Serve as technical authority for data security and governance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon EMR | Amazon Kinesis | Amazon S3 | Apache Spark | Artificial Intelligence | Chaos Engineering | Data Architecture | Data Governance | Data Modeling | Data Security | Databricks | Delta Lake | IAM | Infrastructure as Code | KMS | MLflow | Machine Learning | Observability | OpenTelemetry | Prometheus | Python | Reliability Engineering | SQL | Site Reliability | Site Reliability Engineering | Snowflake | Spark SQL | Stored Procedures | Terraform | Tracing | Unity Catalog | “as-code”
Education
Roles
Regions
Countries
States
Cities
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