Sr Data Engineer
Tasks
- Benchmark and evaluate data technologies
- Build GenAI and ML enablement patterns
- Build lakehouse architecture and frameworks
- Build production pipelines ingestion CDC streaming data quality observability CI CD
- Communicate technical tradeoffs and decisions
- Define enterprise data standards and reusable accelerators
- Design and build data platform reference implementations
- Ensure data governance security scalability and cost efficiency
- Implement Lambda and Kappa streaming architectures
- Manage technical debt and architectural risks
- Mentor data engineers through code reviews and design coaching
- Operationalize models and AI workflows with data science teams
Perks/Benefits
- 401k
- Company holidays
- Insurance plans
- Mobility allowance
- Pension
- Tuition reimbursement
- Volunteering time
Skills/Tech-stack
AWS Glue | AWS Kinesis | AWS S3 | Access Control | Airflow | Apache Iceberg | Automated testing | Azure | Build tool | CDC | CI/CD | Clustering | DBT | Data Build Tool | Data Quality | Data Vault | Databricks | Databricks DLT | Databricks Structured Streaming | DbT Data Build Tool | Delta Lake | Delta Lake medallion architecture | Dimensional Modeling | Dynamic Tables | Feature Store | FinOps | GenAI | Git | Google Cloud | Iceberg | Kappa Architecture | Lakehouse | Lambda Architecture | Lineage | Machine Learning | Medallion Architecture | Observability | Orchestration | Partitioning | PySpark | Python | RAG | SQL | Schema Design | Schemachange | Semantic layer | Semantic views | Snowflake | Snowflake Dynamic Tables | Snowpipe Streaming | Streaming | Structured Streaming | Unity Catalog | Unity Catalog Metrics | Z-ordering
Education
Roles
Regions
Countries
States
Cities
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