Python Data Engineer (Junior/middle) Id31594

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
- Experience ( 2+ years ) 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.
The benefits of joining us
- Professional growth :Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation :We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects :Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- 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.
Next Steps After You Apply
Work Location: Remote