Reply

Mid-level Data Engineer

Reply

full-time

Posted on:

Location Type: Remote

Location: Brazil

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

Amazon RedshiftAWSCloudElasticSearchETLKafkaPySparkPythonSQLTerraform

About the role

  • Build and manage reliable data pipelines involving ingestion/collection, processing, integration, storage, and provisioning of data across the organization
  • Work within a distributed systems architecture for massively parallel (MPP) data processing, combining multiple heterogeneous data sources and collaborating with analytics and data science teams to build solutions and generate data-driven value

Requirements

  • Hands-on experience with ingestion, integration, processing, and storage of large volumes of data
  • Experience working on Big Data projects
  • Behavior Driven Development (BDD)
  • Data extraction in Python and data processing with PySpark
  • Experience with ETL tools
  • Knowledge of relational and dimensional data modeling (Data Warehouse)
  • Experience with SQL databases
  • Experience with AWS Big Data toolset such as: EMR, Kinesis, Redshift, S3, Glue, Elasticsearch
  • Knowledge of Kafka
  • Knowledge of Data Lake and DataOps
  • Preferred: AWS certifications
  • Experience with infrastructure-as-code cloud provisioning tools such as Terraform and CloudFormation
Benefits
  • Swile flexible benefit card to use as you wish (meal and food allowance)
  • TotalPass or Gympass
  • Mental health support – Psicologia Viva
  • Bradesco Health Insurance
  • Bradesco Dental Plan
  • Profit sharing
  • Childcare assistance
  • Support for professional certifications
  • Special talks and webinars
  • RAF referral bonus program
  • Life insurance
  • Subsidy for English or Italian lessons
  • Open English discount
  • Birthday gift
  • Possibility of relocation to another country
  • Partnerships with universities
Applicant Tracking System Keywords

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

Hard Skills & Tools
data ingestiondata integrationdata processingdata storageBig DataBehavior Driven Developmentdata extraction in Pythondata processing with PySparkETL toolsSQL databases
Certifications
AWS certifications