Data Engineer

Job description

ioasys specializes in creating unique solutions for bold companies. We are experts in bringing the best of the digital universe to our customers and transforming, rethinking, and evolving society. We help brands to innovate following the principles of agile methodology and a user-centric approach.

We are part of the Alpargatas Group, a century-old, global, and innovative company. Walking together, we develop end-to-end solutions, promoting the digital transformation of large companies in the national and international market such as Banco Inter, Burger King, BASF, VR Benefícios, LATAM Airlines, Pfizer, Localiza, Fleury, DMCard, Fundação Dom Cabral, and Suvinil.

We provide an environment dedicated to growth, with incredible professionals and constant learning in offices that stimulate creativity and productivity. You will be on a horizontal and transparent team that values your ideas and expects you to be a part of building the company with us.

For the Data Engineer vacancy, we are looking for a professional who knows how to provide the best technical environment for data scientists to create their deliverables, define, manage, and optimize cloud solutions in terms of performance and costs, execute and optimize the network configuration, write technical design documents related to overall performance, data warehousing, data lake/data warehouse, CI/CD, DataOps, data pipeline solutions (ETL/ELT), IaaS, PaaS, and SaaS.

Main responsibilities

1. Write technical design docs;
2. Manage Databricks environment;
3. Manage AWS, Azure, and GCP cloud components;
4. Develop solutions using Java/Python/Spark/Scala;
5. Configure network components in hybrid environments;
6. Define best practices for relational and non-relational data storage;
7. Implement improvements in Data Lake and Data Warehouse environments;
8. Implement and manage SQL and NoSQL databases;
9. Define and develop DevOps, Docker, and Kubernetes solutions;
10. Discuss and define best solutions for system integrations;
11. Support the creation of data governance processes;
12. Discuss best solutions to support the self-service BI strategy in the company.

Requirements and skills

1. Familiarity with agile methodologies;
2. Experience in Databricks, SQL, Python, ETL/ELT, Data Modeling, Data Lake, Data Warehouse, and data visualization tools;
3. Knowledge of AWS Cloud Watch, KMS, Glue, Lambda, S3, Redshift, Snowflake, Jenkins, GitLab, Denodo, Kubernetes;
4. High learning ability.

Preferred Qualifications:

1. Experience in international projects is an advantage;
2. Fluent in Portuguese and English (written & spoken).

Additional information

1. Regime CLT or PJ;
2. Freedom to exercise your skills in a dynamic and horizontal environment;
3. Flexible hours;
4. Day Off – Birthday;
5. Talks and internal courses led by our specialists;
6. English course (In Company);
7. Zenklub;
8. Discounts of up to 75% on Alpa products;
9. Pet license;
10. Wellhub;
11. Internal currency with a store of proprietary products.

Join us! Apply now! :)