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Tech Stack
Tools & technologiesAirflowApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable **data pipelines using Python and Airflow**
- Develop and optimize ETL/ELT processes for structured and unstructured data
- Collaborate with data science teams to support **Machine Learning workflows**
- Ensure data quality, reliability, and performance across systems
- Work with large datasets and optimize queries and transformations
- Integrate data from multiple sources and external systems
- Monitor and improve pipeline performance and reliability
- Support deployment and maintenance of data-driven and ML-enabled applications
Requirements
What you’ll need- 4+ years of experience in **Data Engineering or similar roles**
- Strong proficiency in **Python for data processing and pipeline development**
- Hands-on experience with **Apache Airflow** (or similar orchestration tools)
- Experience building and maintaining **ETL/ELT pipelines in production**
- Strong knowledge of **SQL and relational databases**
- Experience working with **large-scale datasets**
- Exposure to **Machine Learning workflows or data pipelines supporting ML models**
- Experience working with **cloud environments (AWS, GCP, or Azure)**
- Strong problem-solving skills and ability to work independently
Benefits
Comp & perks- Home office;
- Competitive compensation based on experience;
- Career plans to allow for extensive growth in the company;
- International Projects;
- Oowlish English Program (Technical and Conversational);
- Oowlish Fitness with Total Pass;
- Games and Competitions;
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonApache AirflowETLELTSQLdata processingdata pipelinesdata qualitydata transformationlarge-scale datasets
Soft Skills
problem-solvingindependent work