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Salary
≈ $49k – $104k per year (Estimated)
Location
Hybrid (Brazil)
Seniority
Senior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. CI&T scores A on the Alion truth index.

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.
Backed by MMC

Responsibilities:

- Build ingestion pipelines for Databricks using a medallion architecture (bronze, silver, and gold layers), leveraging Auto Loader and Delta Lake.

- Implement "before-and-after" reconciliation pipelines, including record counts, field-by-field comparisons, key/table mapping between versions, and large-scale validation rule application.

- Model the gold layer for reporting, covering approval/rejection rates, reasons for outcomes, and views segmented by cluster and object.

- Expose results via an API for a web application (using Databricks SQL Warehouse with the Statement Execution API, or a custom-built service) and document the API contract.

- Configure governance within Unity Catalog-including permissions, data lineage, and auditing-which are critical for client production data.

- Orchestrate processes using Workflows/Jobs, incorporate data quality checks (such as DLT expectations or similar), and manage version control via Databricks Asset Bundles.

Requirements:

- Experience in data engineering, with at least 2 years specifically using Databricks (PySpark, Delta Lake, Unity Catalog, Workflows).

- Advanced proficiency in SQL and Python.

- Experience with data reconciliation or validation within migration projects.

- Knowledge of SAP data structures.

- Experience in developing reports based on system data.

- Advanced English for conversation.

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