AGGRANDIZE

Data Engineer

AGGRANDIZE

full-time

Posted on:

Location Type: Remote

Location: Brasil

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Tech Stack

AzureCloudETLGoogle Cloud PlatformLinuxPySparkPythonSQL

About the role

  • Work on automation and optimization of data flows and processes;
  • Build technical solutions to ingest, process, and store data from multiple sources and in various formats (structured / unstructured data / files / XML or JSON / Parquet / APIs);
  • Perform activities related to the analysis, development, and maintenance of data processes and structures;
  • Contribute to architecture, data mapping, and data modeling efforts;
  • Apply enterprise-level perspectives aligned with market best practices, solution blueprints, and solution designs;
  • Advantage: experience with Artificial Intelligence (AI) solutions and GCP.

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 scripting languages such as JSON, XML, YAML.
Benefits
  • Meal/food voucher 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 covered by Aggrandize
  • Rewarded referral program
  • Career development track

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLPySparkETLELTDatabricksAzure Data FactoryGCPdata engineeringdata integration