Mid-Level Data Engineer
New
A
AB InBev | Growth GroupData Engineering
Remote, BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Basic to intermediate English
- Experience
- Up to 2 years
- Required Skills
- PythonSQLETLGitSparkDatabricks
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or related fields.
- Basic to intermediate English language proficiency.
- Up to 2 years of experience in Data Engineering, Software Engineering, Data Analytics, or related areas.
- Knowledge of SQL and Python.
- Understanding of ETL/ELT concepts and data transformation processes.
- Familiarity with relational databases and data warehousing concepts.
- Basic knowledge of Spark, Databricks, or distributed data processing frameworks.
- Familiarity with Git and version control workflows.
- Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
- Basic knowledge of data quality concepts, data governance, and data lineage.
Responsibilities
- Support the development and maintenance of data pipelines, ingestion processes, and data transformations.
- Create and maintain SQL queries, Python scripts, and Spark-based workloads used for data processing and analytics.
- Assist in troubleshooting pipeline failures, data quality issues, and operational incidents.
- Implement schema mappings, transformation logic, and data validation rules in collaboration with senior engineers.
- Ensure datasets meet expected schemas, data contracts, and quality standards.
- Support metadata management, dataset documentation, lineage activities, and data classification information.
- Help automate repetitive operational and data management tasks to improve efficiency.
- Contribute to monitoring, alerting, and operational support for data pipelines and workflows.
- Participate in testing activities, including unit tests and transformation validation.
- Collaborate with Data Governance, Security, and Compliance teams.
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