Azure Data Engineer

Insight Global Greater São Paulo Area
Remote
Apply
AI Summary

Insight Global is seeking an Azure Data Engineer to create a data warehouse backbone from end-to-end and work with the architect to streamline all processes. The ideal candidate will have experience with data engineering technologies like ADLS, Azure Databricks, ADF, Azure SQL, and Synapse. Strong communication skills are required to work with multiple teams throughout the organization.

Key Highlights
Create a data warehouse backbone from end-to-end
Work with the architect to streamline all processes
Utilize Azure Databricks and ETL tools
Technical Skills Required
Python SQL ADLS Azure Databricks ADF Azure SQL Synapse YAML PowerShell Terraform
Benefits & Perks
Remote work
Salary range of 16k-20k BRL/mo
16k-20k

Job Description


This is a fully remote position working for a US client, CLT model and salary range of 16k-20k BRL/mo.


Required Skills & Experience


  • 2-5+ Year of experience in Data Engineering
  • Use Python or SQL for engineering and scientific calculations
  • Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience/Knowledge in working with NoSQL databases and can create E2E pipelines.
  • Experienced in building and optimizing complex queries
  • Proven Experience in working with any one of the data engineering technologies like ADLS, Azure Databricks, ADF, Azure SQL, Synapse


Nice to Have Skills & Experience


  • Previously created or enhanced CI/CD build and releases pipelines
  • Experience in working with scripting languages such as YAML, PowerShell, Terraform
  • Certification in Azure


Job Description


A US client of Insight Global is looking for an Azure Data Engineer to join their team. This person will be assisting the team to create a data warehouse back bone from end-to-end and working with the architect to streamline all processes. Duties will involve creating data pipelines and queries, writing SQL queries from scratch, comparing data, writing analysis, extracting data from existing databases, utilizing Azure Databricks, and working with ETL tools. Both verbal and written communication is a must as this person will be required to work with multiple teams throughout the organization.


Subscribe our newsletter

New Things Will Always Update Regularly