Data Engineer Python (Middle) Id27687 . Salvador

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Data Engineer Python (Middle) ID27687 – Salvador

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! 🙂

What you will do

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

Must haves

1. 2+ years of experience writing efficient and scalable Python code, especially for data manipulation and ETL tasks (using libraries like Pandas, PySpark, Dask, etc.);
2. Knowledge of Apache Airflow for orchestrating ETL workflows, managing task dependencies, scheduling, and error handling;
3. Experience in building, optimizing, and maintaining ETL pipelines for large datasets, focusing on data extraction, transformation, and loading;
4. Familiarity with cloud-native storage solutions;
5. Understanding and working experience with different file formats;
6. Expertise in writing efficient SQL queries for data extraction, transformation, and analysis;
7. Familiarity with complex SQL operations (joins, aggregations, window functions, etc.);
8. Familiarity with IAM (Identity and Access Management), data encryption, and securing cloud resources and data storage on both Azure and GCP;

Nice to haves

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

The benefits of joining us

1. Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
2. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
3. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
4. Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.

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