Mid/Senior Data Engineer

Description

We are looking for a **Mid/Senior Data Engineer** to build, evolve, and maintain the company’s data platform, ensuring the availability, quality, governance, and scalability of information that supports strategic decisions and analytical initiatives. You will be responsible for designing, developing, and optimizing data pipelines, integrations, and storage solutions, ensuring data is available, secure, and prepared to meet analytical, operational, and artificial intelligence requirements. ### **Responsibilities** * Develop, maintain, and optimize data ingestion, transformation, and delivery pipelines. * Build and evolve scalable, high-performance data architectures. * Implement integration processes between internal systems and external data sources. * Ensure data quality, reliability, traceability, and governance. * Perform data modeling for analytical and operational environments. * Monitor and optimize data processing and storage workflows. * Support BI, Analytics, and Data Science teams in delivering reliable, structured data. * Implement best practices for pipeline versioning, documentation, and observability. * Participate in architectural decisions and propose continuous improvements to the data platform. * Troubleshoot incidents and analyze performance across data environments. * Collaborate with cross-functional teams to advance the organization’s data strategy. ### **Required Qualifications** * Experience developing and maintaining production-grade data pipelines. * Proficiency in SQL for querying, transforming, and optimizing data. * Proficiency in Python for data manipulation, processing, and automation. * Experience with ETL/ELT processes and integrating diverse data sources. * Experience with modern data platforms such as Databricks or similar. * Experience with Data Lakes, Data Warehouses, and modern data architectures. * Experience with pipeline orchestration and monitoring tools. * Experience working in cloud environments (Azure, AWS, or GCP). * Knowledge of relational and dimensional data modeling. * Ability to collaborate across departments and translate business needs into data solutions. ### **Preferred Qualifications** * Knowledge of relational and non-relational databases. * Knowledge of Spark and distributed data processing. * Knowledge of Delta Lake and Lakehouse architecture. * Knowledge of the Databricks ecosystem and Azure Data Platform. * Knowledge of Airflow, Azure Data Factory, or similar orchestration tools. * Knowledge of CI/CD applied to data projects. * Knowledge of data governance, quality, and observability. * Knowledge of DataOps and best practices in Data Engineering. * Experience supporting Analytics, BI, or Data Science initiatives. * Certifications in Cloud, Databricks, or data platforms. ### **What We Offer** * High-quality work equipment to help you excel in your role; * A birthday day off to celebrate as you wish; * Education incentives, including partnerships with higher education and language institutions; * The Growdev learning platform, featuring practical, market-aligned content. ### **About the Company** We are a startup driven by connections, movement, and trust. We believe growth happens when people come together to learn, transform, and innovate. Our mission is to connect talent and companies, delivering solutions that accelerate digital transformation and foster a culture of continuous learning.