Python Data Architect Opportunity
hace 5 días
We are seeking a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for developing and maintaining data workflows using Airflow, Python, and Spark.
Key ResponsibilitiesThe successful candidate will analyze performance trends, troubleshoot ETL issues, and contribute to the evolution of data architecture. They will also implement and maintain cloud-based data solutions, optimize data pipelines for performance and reliability, and collaborate with the Analytics product team.
Requirements- 4-6 years of ETL/SQL experience;
- Strong Python programming skills;
- Experience with Apache Airflow and Spark;
- Understanding of data warehouse concepts and structures;
- AWS or other cloud platform experience;
- Ability to work in a fast-paced R&D environment;
- Analytical approach to problem-solving;
- Experience with non-SQL data transformation approaches;
- Upper-Intermediate English level.
- 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.
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