[Job 20853 - J&J] Data Engineer

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

When applying for one of our positions, you’re agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. For more information, access our opportunities’ page.

Job Overview

We are looking for a highly skilled Data Engineer to join our team. The professional will be responsible for designing, building, and maintaining scalable and efficient data pipelines, ensuring data quality, reliability, and accessibility to support strategic business decisions.

Responsibilities:

1. Data modeling, optimization, and extraction using SQL;
2. Development and maintenance of efficient and scalable data pipelines;
3. Handling and processing large volumes of data using Python;
4. Implementation and management of workflow orchestration tools;
5. Administration and optimization of relational and NoSQL databases;
6. Working with Big Data platforms such as Spark, Hadoop, and Databricks;
7. Utilizing cloud services, especially AWS, for data processing and storage;
8. Implementation and maintenance of data lakes;
9. Monitoring and optimizing pipelines to ensure high performance and scalability;
10. Deep analysis of data, its origins, and its impact on the business;
11. Handling semi-structured and unstructured data;
12. Applying data profiling techniques to ensure data quality and reliability;
13. Identifying and proposing improvements in data collection, organization, and governance processes.

Requirements:

1. Solid experience in data engineering;
2. Proficiency in SQL for data modeling and optimization;
3. Advanced knowledge of Python for data manipulation and processing;
4. Experience with data orchestration tools (Airflow, Prefect, Luigi, etc.);
5. Knowledge of relational and NoSQL databases;
6. Experience with Big Data platforms such as Apache Spark and Hadoop;
7. Familiarity with cloud services, especially AWS (S3, Redshift, Glue, EMR, among others);
8. Experience in implementing and maintaining data lakes;
9. Skills in data pipeline optimization and monitoring;
10. Knowledge of data profiling and data quality assurance;
11. Analytical ability to understand data origins and business impact;
12. Proactive in identifying and suggesting improvements in data engineering processes.

Preferred Qualifications:

1. Experience with data governance tools;
2. Knowledge of modern data architectures (Data Mesh, Data Fabric, etc.);
3. Experience with CI/CD for data pipelines;
4. Familiarity with machine learning techniques and data science.

Our Benefits:

1. Health and dental insurance;
2. Meal and food allowance;
3. Childcare assistance;
4. Extended paternity leave;
5. Wellhub (Gympass);
6. TotalPass;
7. Profit-sharing (PLR);
8. Life insurance;
9. CI&T University;
10. Discount club;
11. Free online platform dedicated to physical, mental, and overall well-being;
12. Pregnancy and responsible parenting course;
13. Partnerships with online learning platforms;
14. Language learning platform;
15. And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.