Data Engineer

Description

Job Summary: Design, build, and optimize scalable data pipelines and architectures to process large volumes of data, ensuring quality and reliability for analytics and decision-making. Key Highlights: 1. Design and maintain ETLs/ELTs and data pipelines. 2. Build and manage data lakes and data warehouses. 3. Implement solutions in cloud environments (AWS, Azure, or GCP). **Data Engineer** **Role Objective** Design, build, and optimize **data pipelines** and scalable architectures that enable efficient processing of **large volumes of data**, ensuring quality, availability, and reliability for analytics and decision-making. **Responsibilities** * Design and maintain **ETLs/ELTs** and **data pipelines**. * Build and manage **data lakes** and **data warehouses**. * Optimize processes for **data ingestion, transformation, and storage**. * Ensure **data quality, integrity, and governance**. * Work with **structured and unstructured data**. * Implement solutions in **cloud environments (AWS, Azure, or GCP)**. * Collaborate with **Data Science, BI, and backend teams**. **Requirements** * Strong experience in **Python or Scala**. * Knowledge of processing tools such as **Spark or Airflow**. * Experience with **advanced SQL** and data modeling. * Experience with **relational and NoSQL databases**. * Knowledge of **Docker** and version control (**Git**). * Experience working in **cloud environments**. * **Advanced English (B2 or higher)**, both spoken and written. **Preferred** * Experience with **orchestration and streaming tools (Kafka, Flink)**. * Knowledge of **DataOps or MLOps**. * Experience with **agile methodologies**. Employment Type: Full-time Salary: S/.3,000.00 \- S/.5,000.00 per month Work Location: Remote