Data Engineering

Description

**At TRINCA, we don’t fill vacancies—we invite people to build what comes next.** If you believe that **good data is data that drives decisions**, that well-crafted architecture is built in the details, and that every pipeline carries business impact, this role could be your next major challenge. Here, you’ll be a **key player in our data journey**: transforming raw data into valuable insights, working closely with multiple teams to guide strategic decisions and create space for innovation. **✨ Your mission at TRINCA** -------------------------- Transform raw data into reliable insights, building the foundation that supports TRINCA’s strategic decisions. You’ll **own the data pipelines and data architecture**, from the unified data dictionary to the dashboards used by the business to take action. All of this, our way: **direct, human, collaborative, and with real impact.** **What you’ll build day to day** ----------------------------------------- * **Data collection and organization:** identify, integrate, and clean data from diverse sources, including APIs and internal and external systems. * **Data modeling:** develop and maintain efficient models in the Data Lake, ensuring optimal structure for analytics. * **Automation and optimization:** automate reports and data processes so business teams have up-to-date information in real time. * **Insight generation:** collaborate with business teams, translate business questions into analyses, and identify opportunities for improvement and new products. **What we’re looking for in you** -------------------------- ### **Essential requirements** * Proven experience in **Data Engineering**, building and maintaining robust, scalable pipelines. * Experience handling large-scale data (Big Data) and efficient processing. * Experience designing distributed data architectures (Data Lakehouse, Delta Lake). * Experience with **Databricks** and/or other analytical processing platforms. * Advanced proficiency in **SQL**, and relational and non-relational databases (PostgreSQL, MongoDB, Cassandra). * Strong command of **Python (PySpark)** for data processing scripts. * Solid experience with Big Data frameworks (Apache Spark, Apache Flink, or similar). * Pipeline orchestration using Apache Airflow or Dagster. * Data Lakes and cloud environments (Azure, Google Cloud, or AWS), including services such as S3, Google Cloud Storage, or Azure Data Lake Storage. * CI/CD practices and version control (Git/GitHub) applied to data pipelines. * Familiarity with building data APIs (Kafka, Kinesis). * **Real-world use of AI at work**: concrete examples where you applied AI to improve speed, quality, or consistency in data development and operations. * Genuine alignment with our values: **Connect authentically \| Embrace challenges \| Deliver with pride**. ### **Standout differentiators** * **BI and visualization:** create and manage clear dashboards in Power BI, Tableau, or Looker. * **Predictive modeling and Machine Learning** to anticipate trends and optimize operations. * Certifications: **Databricks Data Engineer Associate** and/or **Azure DP-203**. * English proficiency. **How you are (and how you work)** --------------------------------------- * **Embrace challenges**: manage end-to-end projects—from conception to implementation—with autonomy. * **Connect authentically**: collaborate with business stakeholders, data scientists, and analysts, translating needs into clear technical requirements. * **Deliver with pride**: critical thinking and attention to detail to ensure data quality and integrity. * Solve complex problems by seeking creative solutions. * Stay curious and keep up with the latest technologies and industry trends. Contract model: **PJ**, with true autonomy and **remote work**. **Why TRINCA?** --------------------- Because here, you don’t join to “keep processes running.” You join to **build solutions, strengthen a data-driven culture, and prepare the team for what comes next**. If you want to be part of a place where **people truly matter**, where technology is a means—not an end—and where every delivery carries purpose, **come build with us.** *We Build What’s Next.* **And we want you in that building.**