Data Engineer, Mid-level
AGGRANDIZE
full-time
Posted on:
Location Type: Remote
Location: Brasil
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About the role
- Work on automating and optimizing data flows and processes;
- Build technical solutions to ingest, process, and store data from multiple sources and formats (structured/unstructured data, files, XML or JSON, Parquet, APIs);
- Perform activities related to the analysis, development and maintenance of data processes and structures;
- Carry out data architecture, mapping, and modeling tasks;
- Maintain a corporate perspective aligned with market best practices, solution blueprints, and solution designs;
- Experience with Artificial Intelligence solutions and GCP is a plus.
Requirements
- At least 2 years of experience with Databricks
- Experience with Azure Data Factory
- Programming experience — Python, SQL, PySpark
- Experience automating data processes (ETL/ELT)
- Experience with version control using Git
- Experience with Azure Cloud — Data Factory, Synapse, ADLS Gen2, Delta Lake
- Knowledge of data engineering and integration (e.g., ETL, APIs, microservices)
- Familiarity with Linux environments, basic commands, and shell scripting
- Knowledge of data representation formats and serialization such as JSON, XML, YAML.
Benefits
- Meal/food allowance of R$38/day (flexible card)
- Flexible allowance of R$210/month (flexible card)
- TotalPass
- Health and dental insurance
- Life insurance
- Profit-sharing (PLR)
- Birthday day off
- Training and certifications paid by Aggrandize
- Employee referral bonus program
- Career development path
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLPySparkETLELTDatabricksAzure Data FactoryGCPJSONXML