Data Engineer Python
hace 4 días
Job Description 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 Develop and maintain data workflows using Airflow, Python, and Spark; Analyze performance trends to proactively prevent problems; Troubleshoot ETL issues and identify root causes; Contribute to the evolution of data architecture; Implement and maintain cloud-based data solutions; Optimize data pipelines for performance and reliability; Collaborate with the Analytics product team on new features.
Must haves 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.
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 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.
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.
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