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SENIOR DATA ENGINEER - BEES DATA

3 weeks, 3 days ago
Brazil
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure dbt Encryption GCP Git GitHub Actions Python Scala SQL Terraform
Apply Now
AB InBev

AB InBev

AB InBev is the world's largest brewer, committed to bringing people together for a better world. With a diverse portfolio of over 500 beer brands, including global favorites like Budweiser, Corona, and Stella Artois, the company focuses on brewing the...

Beverages
100K+
Founded 2008
View All Jobs 7

Description

  • Implement and maintain individual data platform components such as ingestion jobs, dbt models, Spark transformations, CDC tasks, matching rules, and deduplication logic.
  • Make bounded implementation decisions within each component, including schema mapping, transformation logic, and join strategy.
  • Fix defects in transformations, ingestion jobs, and entity resolution logic when issues are identified.
  • Ensure component outputs conform to expected schemas, data contracts, and downstream requirements.
  • Improve component performance, data quality checks, and reliability when gaps or incidents require it.
  • Follow existing ETL and MDM standards and team patterns.
  • Apply security and compliance requirements to handling sensitive and personal data, including classification, retention, and minimization rules.
  • Use approved identity, access, and secrets patterns for jobs and services.
  • Support auditability of changes and data movement through clear ownership, metadata, lineage hooks, or evidence packs.
  • Review peer pull requests, address feedback promptly, and communicate technical tradeoffs clearly in writing.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or a similar field.
  • Intermediate English.
  • Ability to write clear, readable, modular code and follow team naming and formatting conventions.
  • Experience adding unit or transformation-level tests and validating schema and data quality assumptions.
  • Experience submitting well-structured pull requests with clear descriptions and evidence of testing.
  • Hands-on experience with Python, SQL, and data processing using PySpark and/or Scala.
  • Practical experience building or maintaining batch or stream components with orchestration tools such as Apache Airflow or Databricks Workflows, plus Git.
  • Comfort with transformation, cleansing, aggregation, and basic performance tuning for SQL and Spark workloads.
  • Familiarity with cloud services on AWS, Azure, or Google Cloud.
  • Understanding of least-privilege IAM, encryption in transit and at rest, approved dependency channels, and responding to high-severity security findings.
  • Preferred: hands-on experience with transformation tooling and data contracts in a shared warehouse.
  • Preferred: experience with APIs or event interfaces used for data exchange between systems.
  • Preferred: experience with infrastructure-as-code or CI/CD tools such as Azure DevOps, Terraform, or GitHub Actions.
  • Preferred: familiarity with data governance tooling or vulnerability and secret scanning in CI for data repos and pipelines.

Interested in this position?

Apply directly on the company website

Apply Now

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