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Salary
$36k – $91k per year (Estimated)
Location
Remote (Brazil)
Seniority
Middle
Overview
Company
Impact
Profile match
CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.

The Data Developer builds the pipelines and ingestion into OneLake for ATL Technology's Foundation Pod, working under the Data Engineer Lead's direction. This role gives the pod the dedicated hands needed to deliver across multiple source systems, Infor, Dynamics, Workday, OneStream, and Fusion PLM, at once, without creating a bottleneck on the Lead.

Core Responsibilities:

- Build and maintain Azure Data Factory pipelines, ingestion flows, and Bronze layer data contracts under the Data Engineer Lead's direction;

- Manage source system integration points: Infor SyteLine, Infor ION, Dynamics CRM, Workday, OneStream, and Fusion PLM;

- Ensure pipeline reliability, SLA compliance, and incident response for all ingestion flows;

- Apply platform standards and CI/CD practices established by the Core Team's Data Architect;

- Support Bronze schema definition and validation;

- Support ingestion pipeline architecture design in partnership with the Data Engineer Lead;

- Escalate and troubleshoot incidents affecting pipeline reliability.

Required Skills:

- Azure Data Factory pipeline development experience;

- Solid SQL skills;

- Experience integrating ERP or CRM source systems into a data pipeline;

- Familiarity with Bronze-layer data contracts and CI/CD practices for data pipelines;

- Advanced English.

Nice to Have:

- Python experience;

- Databricks or Spark experience;

- Experience with Infor ION integration specifically;

- Familiarity with pipeline monitoring and observability tools.

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