Lead Engineer - Data
Tasks
- Architect and implement scalable data pipelines
- Automate and orchestrate data pipelines
- Collaborate with business stakeholders
- Conduct code reviews
- Create reusable frameworks and artifacts
- Develop and maintain technical documentation
- Drive data infrastructure technical vision and roadmap
- Establish data engineering best practices and governance
- Lead and mentor data engineers
- Lead data pipeline problem solving and support stakeholders
- Optimize data workflows for performance reliability and cost
- Provide technical leadership in data modeling and ETL ELT design
- Run discovery sessions for requirements and architecture alignment
- Support pre sales technical solutioning and proposal development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Kinesis | Access Control | Agile | Apache Kafka | Azure | Data Compression | Data Governance | Data Lake | Data Modeling | Data Partitioning | Data Privacy | Data Security | Data Validation | Data Warehouse | Data mesh | Data orchestration | Databricks | Delta Lake | ELT | ETL | GCP | Git | Java | Lakehouse | Performance Tuning | Python | Query Performance Tuning | Query performance | SQL | Scala | Snowflake Schema | Sprint Planning | Sprint Retrospective | Star Schema | Storage Optimization | Testing Frameworks
Education
N/A
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