CI&T

Financial Services

SeniorDataDeveloper(AzureandDatabricks)

$200–350k ~AI est. Brazil Homeoffice Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Developer (Azure and Databricks) at CI&T. Skills: Data Engineering, Azure, Databricks, Python. Develop data pipelines. Maintain data pipelines”

Industry & Context.

Financial Services
Problems you'll solve

Problem-solving; Investigate complex data; Understand root causes; Propose practical solutions; Troubleshooting

What They're Looking For.

Must Have

Experience with Databricks, Proficiency in PySpark, Python, and SQL, Experience with Delta Lake and Lakehouse architecture, Knowledge of Azure data ecosystem, Experience supporting financial data pipelines, Hands-on experience maintaining and improving existing pipelines, Ability to work with structured and semi-structured data, Problem-solving mindset, English proficiency

Nice to Have

Familiarity with AI frameworks, Experience with Databricks Workflows, Experience with Databricks Apps, Experience with Streamlit, Experience with data quality and observability practices

What You'll Do.

Develop data pipelines

Maintain data pipelines

Improve data pipelines

Integrate new data sources

Support financial reconciliation

Process large volumes of data

Optimize transformations

Optimize storage formats

Optimize query performance

Monitor existing pipelines

Troubleshoot existing pipelines

Support existing pipelines

Propose technical approaches

Implement technical approaches

Work with data engineers

Work with business stakeholders

Work with finance teams

Work with technology teams

Support data governance

Support validation rules

Support documentation

Support advanced data capabilities

How You'll Work.

Team & Collaboration

Cross-functional teams; Business stakeholders; Finance teams; Technology teams

Communication Scope

Technical discussions; Documentation

Full Job Description

## Description We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 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. We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 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. We are seeking a talented and experienced Senior Data Engineer to join our team and support a strategic partner in the evolution, maintenance, and continuous improvement of global financial closing processes. This role will focus on supporting financial data reconciliation, P&L routines, existing data pipelines, and the integration of new data sources. The professional will also contribute to building new pipelines, improving data quality and support initiatives involving AI models and advanced data capabilities. We are looking for someone hands-on, collaborative, and analytical, who enjoys solving complex data challenges and building reliable, scalable solutions that create real business impact. Responsibilities: Data Pipeline Development: Develop, maintain, and improve data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable curated datasets. Data Integration: Integrate new data sources into the existing data ecosystem, helping expand the platform’s capabilities and improve business visibility. Financial Data Reconciliation: Support financial reconciliation activities, P&L routines, and global closing processes by ensuring data consistency, accuracy, and traceability across different sources. Data Processing and Optimization: Process large volumes of structured and semi-structured data, optimizing transformations, storage formats, and query performance using Delta

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