Senior/Lead Data Engineer – AI-Native Aftermarket Platform | Brazil
Tasks
- Author and deploy Databricks jobs
- Build and test dbt models
- Design and build data pipelines
- Develop production Python code
- Implement data quality checks
- Lead data technical initiatives
- Maintain data governance with dbt tests
- Mentor engineers through code reviews
- Model dimensional schemas and data marts
- Operate secure multi repository deployments
- Own pipelines end to end
- Run exposure checks before merges
- Set architectural standards
Perks/Benefits
Skills/Tech-stack
Asset bundles | Azure Data | Azure Data Factory | Azure Data Factory pipelines | Azure Data Lake | Azure Data Lake Storage | Azure Key Vault | Checkpointing | Conventional Commits | DBT | Data Factory | Data Lake Storage | Data Quality | Data Quality Testing | Data factory pipelines | Databricks (asset) | Databricks Asset Bundles | Dbt Relationship Tests | Dbt Uniqueness Tests | Dbt exposures | Dbt tests | Delta Lake | Delta Lake Merge | Delta Lake OPTIMIZE | Delta Lake Time Travel | Delta Lake Z ORDER | Dimensional Modeling | Git | GitHub Actions | GitHub Secrets | Grain Management | Idempotent Pipelines | Incident Postmortems | Incremental models | Key Vault | Medallion Architecture | PII Detection | PII Detection and Masking | PySpark | Pytest | Python | Quality testing | ReplaceWhere | Ruff | SCD Type 1 | SCD Type-2 | SQL | Secret management | Service principals | Snowflake Schema | Spark | Star Schema | Time Travel | Type 1 | Type 2) | Type Hints | Unity Catalog | Z-Order
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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