Offer summary

Qualifications:

Experience in Data Engineering or a related role., Strong proficiency in Python for data processing and automation., Familiarity with AWS and basic SQL., Hands-on experience with ETL orchestration using Apache Airflow..

Key responsabilities:

Develop and optimize scalable data pipelines using Python and AWS services.

Manage ETL/ELT workflows with tools like Airflow and Glue for data integrity.

Implement logging and monitoring for pipeline reliability.

Collaborate with cross-functional teams to provide quality data for decision-making.

Job description

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.

We are looking for a Product Data Engineer to maintain and optimize data pipelines in AWS for product analytics and decision-making. This role focuses on ensuring data flow, availability, and performance while optimizing costs.

Key Responsibilities:

- Develop and optimize scalable data pipelines using Python and AWS services.

- Manage ETL/ELT workflows with tools like Airflow and Glue for data integrity.

- Improve storage efficiency and query performance for large datasets.

- Implement logging and monitoring for pipeline reliability.

- Collaborate with cross-functional teams to provide quality data for decision-making.

Required Skills & Experience:

- Experience with Data Engineering or a related role.

- Strong Python proficiency for data processing and automation.

- Experience with AWS and basic SQL.

- Hands-on experience with ETL orchestration using Apache Airflow.

- Familiarity with CI/CD pipelines and version control (Git).

Preferred Qualifications:

- Experience with data lake architectures.

- Knowledge of data governance and cost management best practices.

Prior experience with IoT data pipelines.

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Wellhub (Gympass)

-TotalPass

-Profit-sharing (PLR)

-Life insurance

-CI&T University

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

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.

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