Data Engineer – Mid-Level

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🔥 7 hours ago

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ampfy

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

📣 Marketing

📱 Media

Marketing • Media

ampfy is an independent communication and advertising agency (part of the Biosphera network) that combines strategy, creativity and media to build brand–consumer connections. Positioned as a contemporary agency within a larger AI-driven growth network, Ampfy integrates creative strategy, brand storytelling, media planning and operations to drive brand building and performance across channels.

📋 Description

• Develop data ingestion and transformation pipelines (ETL/ELT) in Data Lake and Data Warehouse environments. • Implement data quality control, monitoring and validation routines. • Build and maintain APIs for data consumption by systems and applications. • Document data flows, business rules and data models in use. • Participate in relational and analytical data modeling. • Collaborate with BI, Product and Data Science teams to structure and make data available. • Automate data delivery processes using orchestration tools. • Support the evolution of the company's data architecture together with architecture and DevOps teams. • Work with versioning and CI/CD to ensure traceability and reproducibility of pipelines. • Participate in agile ceremonies and development cycles (Scrum/Kanban).

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Statistics or related fields. • Strong knowledge of SQL and Python for data manipulation. • Experience building pipelines with tools such as Airflow, StreamSets, NiFi or similar. • Knowledge of data modeling (normalized and dimensional). • Practical experience with relational databases (PostgreSQL, SQL Server, etc.) and non-relational databases (MongoDB, etc.). • Experience with Linux environments and shell scripting. • Knowledge of OLTP, OLAP, Data Lake, Data Warehouse and Lakehouse concepts. • Familiarity with CI/CD processes and Infrastructure as Code (IaC). • Experience in data migration or integration projects between platforms. • Experience with Linux including creating shell scripts. • **Preferred:** • Practical experience with cloud services (GCP, AWS, Azure, Oracle Cloud or On-Premises). • Knowledge and use of tools such as DBT, Delta Lake, Apache Spark / PySpark. • Experience with data catalog and governance tools (Data Catalog, DataHub, Amundsen). • Experience with Medallion architecture or Data Mesh projects. • Integration with Data Science teams and support for the operationalization of models.

🏖️ Benefits

• 💻 Company laptop for employees based in São Paulo, or 💸 infrastructure allowance to cover internet and supplies for remote employees outside São Paulo. • 🛫 30 days' vacation + one-third bonus (benefit available after 1 year of employment); • 🏥 SulAmérica Health Insurance • 💚 Life Insurance • 💳 Meal allowance (VR) per working day (Flash Card; credit/debit; can be used at food vendors with CNPJ, e.g., restaurants, supermarkets and delivery apps) • 📴 Day off on your birthday + extra credit loaded to the Flash card on that day • 🦷 SulAmérica Dental Assistance - optional plan • 🏋🏻 Fitness allowance - TotalPass • 📚 Education support - monthly reimbursement for courses and training (per company policy) • ✅ Semiannual performance reviews with feedback and creation of an Individual Development Plan (IDP). • 🪴 Modern, accessible office with an on-site bistro-style restaurant.