Senior/Lead Data Engineer – AI-Native Aftermarket Platform | Mexico
Tasks
- Author and deploy Databricks Asset Bundles jobs
- Build and test dbt models across layers
- Build data marts with star and snowflake schemas
- Coordinate incident post mortems
- Define data architecture standards and technical direction
- Deploy with service principals and secret management
- Design and build data pipelines end to end
- Implement data quality checks
- Implement production Python modules with testing
- Maintain data governance with dbt tests and documentation
- Mentor engineers through code reviews
- Run exposure checks before merging schema changes
- Troubleshoot failing Spark PySpark jobs
Perks/Benefits
Skills/Tech-stack
Asset bundles | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Key Vault | Checkpointing | Cost Optimization | DBT | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Quality Checks | Databricks (asset) | Databricks Asset Bundles | Delta Lake | Delta MERGE | Dimensional Modeling | Git | GitHub Actions | Grain Management | Incremental processing | Key Vault | Medallion Architecture | Observability | Optimize | PII Detection | PII masking | PySpark | Pytest | Python | Quality checks | ReplaceWhere | Ruff | SCD Type 1 | SCD Type-2 | SQL | Secret management | Service principals | Spark | Time Travel | Type 1 | Type 2) | Type hinting | Unity Catalog | ZORDER
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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