Data Engineer

Há 13 horas

Montenegro, Brasil Marbill Technologies Tempo inteiro

Join to apply for the Data Engineer role at Marbill Technologies About The Company Join a team that’s redefining the future of e-commerce At Luna Group home of Marbill we believe in empowering not only our merchants but also our employees. Here, you’ll find a supportive, innovative, and dynamic work environment where your ideas matter and your growth is a priority. Ready to grow with us? Let’s create something amazing together. Here’s What We Offer Flexible working hours - Work when you’re at your best and most productive. Remote friendly position - Enjoy the freedom of working from anywhere while staying connected with your team. Referral bonuses - Bring amazing talent on board and get rewarded. Comprehensive training - We invest in your growth from day one, ensuring you have the skills to excel. Competitive salary - Based on your experience, with regular reviews. 23 days of annual leave - Recharge, relax, and enjoy your time off. At Marbill, we are an ambitious, fast‑moving team that thrives in a dynamic and agile environment. Our professionals, hailing from over 30 countries, are resilient, accountable, and solution‑oriented. We make things happen quickly, embracing challenges with fresh ideas and a focus on impactful results. We equip our team with the tools and support they need to succeed, fostering both professional and personal growth. We are currently seeking a Data Engineer to join our dynamic team. About The Role Design, develop, and maintain scalable and reliable data pipelines to support data operations and analytics. Debug and troubleshoot Airflow workflows to ensure robust and efficient scheduling. Write clean, maintainable, and efficient Python code for data engineering tasks. Use Git for version control and collaboration within the engineering team. Migrate and optimize prototype scripts from Jupyter Notebooks into production‑ready Airflow DAGs. Collaborate with Data Scientists, Analysts, and Engineers to integrate data solutions into business workflows. What You’ll Bring 3+ years of experience as a Data Engineer or in a similar role. Strong knowledge of SQL and relational database systems. Hands‑on experience with AWS (e.g., S3, Athena, SageMaker). Proficiency in Python for building scalable and automated data solutions. Familiarity with Airflow for orchestration and job scheduling. Experience with Agile development processes and tools. Excellent problem‑solving and communication skills. Ability to work effectively in a collaborative team environment. Bonus Skills Experience with data lakes and data warehouse technologies. Knowledge of Docker or similar containerization tools. Exposure to distributed computing frameworks like Apache Spark. Familiarity with real‑time/streaming data platforms (e.g., Kafka, Flink, RabbitMQ). Apply now and let’s make an impact together #J-18808-Ljbffr

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