Tech Stack
ApacheAzureJavaJenkinsPostgresPySparkPythonSpark
About the role
- Collaborate with the Cards Data Engineering team;
- Build data pipelines for data ingestion and provisioning;
- Work within an agile team;
- Participate in a strategic project for the department;
- Knowledge of Databricks and PySpark.
Requirements
- Databricks skills: Experience working with Apache Spark on Databricks;
- Experience with PySpark, Python and Kedro;
- Batch and streaming data processing;
- DevOps knowledge: Familiarity with Jenkins;
- Git: Proficiency with Git;
- Agile methods: Understanding of agile principles and practices;
- Orchestration: Knowledge of workflow/orchestration tools;
- Microsoft Azure: Experience with Microsoft Azure services;
- Azure: Experience with services such as Aurora PostgreSQL, CloudWatch, Lambda and S3;
- Experience in on-premises environments (Cloudera);
- Object-oriented development: Familiarity with Java is desirable;
- AZ-900 and DP-900 certifications are preferred.
- Bradesco Health Plan (30% co-payment);
- Bradesco Dental Plan (no employee contribution);
- Life insurance;
- Wellhub (Gympass);
- Childcare subsidy;
- Support for children with special needs;
- Payroll-deductible loan;
- Private pension plan;
- Pet care benefits;
- SESC benefits;
- Conexa telemedicine;
- Financial assistance allowance;
- Meal / Food allowance;
- Multi-benefits card;
- Medical plan upgrade option;
- Extended maternity and paternity leave;
- Support program for pregnant employees;
- Birth gift basket and the book "Acontecia quando eu nascia";
- Professional development: courses available through the internal university;
- 100% remote or hybrid, depending on project needs.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
DatabricksPySparkPythonKedrobatch data processingstreaming data processingDevOpsGitobject-oriented developmentJava
Soft skills
collaborationagile principlesagile practices
Certifications
AZ-900DP-900