Data Engineer (AI Product)

Renn Labs

Địa chỉ làm việc: 200 Street 3/2, District 10, Ho Chi Minh

Hết hạn ngày: 26/03/2025

ID: job501265

Mô Tả Công Việc

Are you passionate about building robust, scalable, and efficient data systems, and eager to dive deep into the world of AI-driven software development? Join Renn Labs, where your enthusiasm meets high-energy, collaborative, and forward-thinking tech innovation. We're on the lookout for skilled Data Engineers to play a pivotal role in shaping the data infrastructure of our innovative AI products. This is more than a job – it's a chance to be at the forefront of technological advancement with a team that values creativity and innovation. The Data Engineer is a crucial role, responsible for collaborating effectively with key stakeholders, product management teams, designers, data scientists and fellow engineers to establish and implement best data engineering practices. This position plays a central part in driving the development of our data systems, ensuring both innovation and excellence in our technology solutions. Ready to elevate your value to new heights and redefine the future? Uplift your Data Engineering journey with Renn Labs today. IN DETAIL, YOUR SUCCESS IN THIS JOB WILL BE Efficiently design, develop, and maintain efficient data collection methods aiming to scalable data pipelines and efficient data architectures; Seamlessly build and optimize data ingestion processes to handle structured and unstructured data; Proactively collaborate with data scientists and software engineers to implement innovative data solutions that support AI and machine learning models; Continuously ensure impeccable data quality, integrity, and security across all data systems. Timely monitor and troubleshoot data systems to ensure optimal performance and exceptional reliability; Diligently develop and maintain comprehensive documentation for data processes, systems, and standards; Rigorously implement stringent data governance and compliance measures to meet regulatory requirements; Constantly evaluate and improve cutting-edge data engineering tools and technologies.

Xem toàn bộ Mô Tả Công Việc

Yêu Cầu Công Việc

WHAT YOU’LL NEED FOR SUCCESS IN THIS JOB Bachelor's degree or higher degree in Computer Science, Engineering, a related field, or equivalent practical experience; Proven experience as a Data Engineer or in a similar role in at least 3 years; Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL); Experience with big data technologies such as Hadoop, Spark, and Kafka; Proficiency in programming languages such as Python, Java, or Scala; Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services; Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake); Knowledge of data modeling, data structures, and algorithms; Strong passion for staying up-to-date with the latest trends and best practices; Good communication, with the ability to understand business requirements and comfortably discuss ideas; Excellent collaboration skills, with the ability to work effectively in a global environment and agile project setting; Solid analytical thinking, problem-solving skills, high attention to detail and accuracy in work delivery; Demonstrated ability in mentoring and managing multiple projects simultaneously will set your application apart and give you a distinct advantage; Last but not least, an eagerness to learn and a startup spirit at heart. This role provides extensive exposure to AI-driven product development, offering a pathway to advance in the future of technology.

Xem toàn bộ Yêu Cầu Công Việc

Hình thức

Full-time

Quyền Lợi

WHY RENN COULD BE YOUR NEXT GREAT MOVE Dive into cutting-edge projects in AI, fintech, news, and e-commerce, where your skills can shape the future of technology. Be part of a global team that thrives on collaboration and ensures your contributions create a meaningful global impact. Work on transformative initiatives that have the potential to redefine entire industries. Partner with leading innovators to drive groundbreaking solutions and accelerate your career growth. Receive rewards that recognize your expertise, efforts, and true potential. OUR AI - FIRST CULTURE Renn is embarking on an exciting “AI First” journey, harnessing cutting-edge technologies and methodologies adopted by top tech and digital innovators across the globe. Our transformation goes beyond just technology. We are deeply committed to investing in our people with AI tools. We are a collective of innovators, thinkers, and creators. Our culture is built on the foundation of experimentation, continuous learning, and a relentless pursuit of excellence. We believe in empowering our small team to make big contributions, ensuring that every voice is heard and every idea is valued. If you are eager to learn, grow, and inspire those around you, then Renn team is the ideal place for you! Let’s hear what your future teammates say about their journey with Renn "Shout out to the Renn for bringing me on board and always supporting me. I feel so happy and energetic here." - AI Engineer "The work is really challenging, and I like it. Many thanks to the team for helping me with data enrichment." - Software Engineer "Our founder's words deeply inspire me, motivating me to consistently commit to the team’s success." - QA Engineer Does this excite you? Let’s meet over a cup of coffee and chat! Renn Labs is a staunch advocate for equal employment opportunities. We embrace and encourage applicants from all backgrounds for every position, without considering race, color, religion, gender, age, national origin, citizenship status, marital status, military or veteran status, genetic information, sexual orientation, gender identity, or any physical or mental disability. We are dedicated to fostering a vibrant work culture that upholds diversity and inclusion, respect and integrity, a strong customer focus, and a commitment to innovation.

Mức lương

Thỏa thuận

Báo cáo tin tuyển dụng: Nếu bạn thấy rằng tin tuyển dụng này không đúng hoặc có dấu hiệu lừa đảo, hãy phản ánh với chúng tôi.
Tham khảo: 10 Dấu hiệu nhận biết hành vi lừa đảo qua tin tuyển dụng.