Data Engineer Python

hace 2 semanas

Buenos Aires, Argentina AgileEngine A tiempo completo

**What you will do**
- Design, develop, and maintain ETL pipelines to extract, transform, and load data across various data sources (cloud storage, databases, APIs);
- Use Apache Airflow for orchestrating workflows, scheduling tasks, and managing pipeline dependencies;
- Build and manage data pipelines on Azure and GCP clouds;
- Design and support Data Lake;
- Write Python scripts for data cleansing, transformation, and enrichment using libraries like Pandas, PySpark;
- Analyze logs and metrics from Airflow and cloud services to resolve pipeline failures or inefficiencies.

**Must haves**
- **2+ years** of experience writing efficient and scalable **Python** code, especially for data manipulation and **ETL tasks** (using libraries like **Pandas, PySpark, Dask, etc.**);
- Knowledge of **Apache Airflow** for orchestrating ETL workflows, managing task dependencies, scheduling, and error handling;
- Experience in building, optimizing, and maintaining **ETL pipelines** for large datasets, focusing on data extraction, transformation, and loading;
- Familiarity with cloud-native storage solutions;
- Understanding and working experience with different file formats;
- Expertise in writing efficient **SQL queries** for data extraction, transformation, and analysis;
- Familiarity with complex **SQL operations** (joins, aggregations, window functions, etc.);
- Familiarity with **IAM** (Identity and Access Management), data encryption, and securing cloud resources and data storage on both **Azure**, **GCP**;
- Upper-intermediate English level.

**Nice to haves**
- Use some Java libraries to request data from APIs;
- Knowledge of data governance practices, and the implementation of data lineage and metadata management in cloud environments.

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