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Senior Data Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

**Positively impacting billions of lives is our purpose—and it can be yours too!** Founded in 2010 in Brazil, Semantix is a reference in Big Data, Analytics, and Artificial Intelligence. We are a team of innovation enthusiasts from diverse backgrounds and varying levels of experience. What unites us is our shared motivation to transform our customers’ experience through a data-driven culture. If this resonates with you, Semantix is your place. We’re excited to welcome you to our team. After all, **the future is built together**. Requirements: **Your day-to-day responsibilities will include:** * Developing and maintaining data pipelines/streams on Azure using Databricks. * Implementing automated pipelines for data ingestion, transformation, and delivery. * Ensuring data quality and governance across the entire lifecycle. * Collaborating with cross-functional teams to evolve the data architecture. * Processing large volumes of master data. * Monitoring KPIs and delivery quality. * Automating processes and queries. * Analyzing data to identify issues and propose solutions. **Responsibilities and duties:** * Developing and maintaining data pipelines (ETL/ELT) on Azure, using Databricks for processing and integration. * Implementing CI/CD practices for automated deployments and code versioning on GitHub. * Designing and optimizing data models to ensure scalability, performance, and governance. * Supporting cloud migration projects, ensuring data security, quality, and integrity. * Collaborating with business and data science teams to deploy AI models in cloud environments. * Ensuring data quality and consistency by applying data profiling and monitoring techniques. * Documenting processes, architectures, and data engineering best practices. **Requirements and qualifications:** * Solid experience with Azure Data Services and Databricks. * Proficiency in Python and SQL for data manipulation and transformation. * Knowledge of CI/CD and version control with GitHub. * Experience in data modeling (conceptual, logical, and physical). * Hands-on experience in cloud migration projects. * Experience with ETL/ELT and integration of large-scale data volumes. * Desired: Experience deploying AI models and using tools such as Azure ML. **Desired profile:** * Proactivity and ability to solve complex problems. * Strong communication skills for interaction with both technical and business teams. * Results-oriented mindset and commitment to continuous improvement. * Interest in innovation, data quality, and cloud-based solutions. **Differentiators:** * Experience with AI projects and pipeline automation. * Knowledge of data-oriented architectures and data governance best practices. * Participation in MDM (Master Data Management) initiatives. * Familiarity with Databricks MLflow for model management. * Experience working in Data Lake and Data Warehouse environments. Benefits Competitive salary aligned with market standards; Caju (flexible card) with R$ 1,060/month loaded; Bradesco Health Insurance; Bradesco Dental Insurance; * ️ Preventive medicine with Dr. Alper; Life Insurance; * ️ Gympass; ️ SESC; Childcare allowance for mothers and fathers; Profit-sharing program (PLR); Learning – an area dedicated to developing hard and soft skills; Partnerships with educational institutions for technical training, MBAs, postgraduate degrees, certifications, English, and Spanish; Career development plan; Discounts on products via a partner portal. Please note that all our job openings are open to individuals of all backgrounds and identities—valuing diversity and fostering an inclusive and welcoming environment for everyone.

Source:  indeed View original post
João Silva
Indeed · HR

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