AVP, Lead Data Engineer
Tasks
- Adopt AI-assisted development
- Architect no touch data pipelines
- Define data engineering strategy
- Drive root cause analysis
- Establish CI/CD pipelines
- Implement automated data integrations
- Lead engineering standards adoption
- Maintain technical documentation
- Mentor and develop engineers
- Provide technical leadership for complex initiatives
- Recommend data engineering tooling and architectures
- Set up automated testing frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Spark | Automated testing | Azure Data | Azure Data Factory | Azure Databricks | Azure Synapse | Azure Synapse Analytics | CI/CD | Cause analysis | Data Factory | Data Lineage | Data Pipelines | Data Quality | Data Warehousing | Data integration | Data quality monitoring | Databricks | Delta Lake | Dimensional Modeling | Dynamic Tables | ELT | ETL | IICS | Informatica | Informatics Data Integration | Infrastructure as Code | No Touch Pipelines | Python | Quality monitoring | Root Cause Analysis | Root cause | SQL | Shell | Snowflake | Snowpark | Synapse Analytics | “as-code”
Education
Bachelor of Computer Engineering | Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Information Systems | Bachelor of Science | Bachelor of Technology
Roles
Data Engineer | Data Engineering | Data Engineering Manager | Engineer | Engineering Manager | Lead | Lead Data | Lead Data Engineer | Manager
Regions
Countries
States
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