
Building Efficient Data Pipelines
Há 4 dias
We are seeking a Junior Data Engineer to join our team and play a key role in building, maintaining and supporting data pipelines from various platforms around the world.
The ideal candidate will have a proven background in SQL, Python and ETL/ELT, with experience working with big data volumes. They should be able to proactively tackle problems and design efficient data pipelines that empower the organization through data insights.
Key Responsibilities:- Implement high-impact initiatives to drive business growth;
- Develop and maintain data integration pipelines for multiple platforms;
- Contribute to data engineering projects and ensure pipeline performance, quality, monitoring and maintenance;
- Identify opportunities for improvement in data movement pipelines;
- Collaborate with stakeholders to design and implement data solutions;
Required Skills and Qualifications:
- Proficiency in software development (e.g., Python, Spark, Git, CI/CD, Docker);
- Experience with SQL and ETL/ELT;
- Knowledge of data lake and data warehouse concepts;
- Experience with data pipeline creation/orchestration tools (e.g., Airflow, Dagster);
- Cloud experience (e.g., AWS or GCP);
- Advanced English communication skills;
Additional Benefits:
- Opportunity to work on cutting-edge technologies;
- Collaborative and dynamic work environment;
- Chance to develop new skills and advance career;
- Staying updated with industry trends and adopting new technologies.
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