Required Skills & Experience Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 3–5 years of experience in data engineering roles. At least 2 years of hands-on experience with Azure Databricks and Apache Spark. Strong programming skills in Python. Proficiency in SQL and experience working with both relational and non‑relational databases. Nice to Have Skills & Experience Azure certifications such as Azure Data Engineer Associate, or Databricks certifications. Experience with streaming data processing (e.g., Structured Streaming, Event Hubs). Knowledge of infrastructure as code (Terraform/Terragrunt or ARM templates). Familiarity with data governance tools and practices. Experience with Unity Catalog, data governance, and data security/compliance concepts. Job Description Insight Global is seeking a Data Engineer to support a large beverage company’s data and analytics initiatives. This delivery-focused role is responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on Azure Databricks, including Unity Catalog. The Data Engineer will develop and optimize ETL/ELT pipelines and Apache Spark jobs, ensure data quality and reliability, and collaborate with product owners and analytics teams to translate business needs into robust technical solutions. This is a remote role in Brazil.