Senior/Lead Data Engineer

New
T
TruelogicAI Software
BrazilFull-TimeLead
Salary not disclosed
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Job Details

Required Skills
PythonSQLGitSparkdbtDatabricksPySpark

Requirements

  • Expertise in SQL and dimensional modeling methodologies (medallion architecture, SCDs, grain management).
  • Proven ability to design idempotent pipelines utilizing incremental, checkpoint, and replaceWhere strategies.
  • Extensive experience with production-grade Python engineering including type hints, pytest, and ruff.
  • Deep understanding of Delta Lake features (MERGE, OPTIMIZE, Z-ORDER, time travel).
  • Hands-on expertise with dbt (models, tests, exposures).
  • Experience authoring and deploying jobs using Databricks Asset Bundles and Unity Catalog.
  • Strong adherence to Git workflows and documentation practices.
  • Experience with Service Principals and secret management tools like Azure Key Vault.
  • Strong written technical communication skills.

Responsibilities

  • Design and build robust, idempotent data pipelines from scratch utilizing a modern data stack.
  • Design star and snowflake schemas, writing precise, grain-aware SQL to construct scalable data marts.
  • Write production-grade, unit-tested Python code at the module level.
  • Build and test dbt models across staging, intermediate, and mart layers.
  • Author and deploy jobs using Databricks Asset Bundles (DAB).
  • Implement rigorous data quality checks to prevent silent drops of nulls or duplicates.
  • Maintain data governance through dbt tests and documentation-at-merge-time.
  • Own data pipelines end-to-end, mentor mid-level engineers, and define technical direction.
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