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Backend/Data Engineer

Salary: 80.00 -  100.00
Posted: 28-02-2025
Category: Database, Analytics BI
Banana Shire, 
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Job Description

We are looking for passionate data engineers who thrive on staying at the cutting edge of technology and aren’t afraid to tackle massive-scale production systems. The DataOS team builds and supports a platform for processing and organizing data at AppsFlyer. We are creating a data lake that stores over 10PB of data and ingests more than 100TB daily. What You’ll Gain: Leadership Opportunities: Take on the role of a technical authority, leading initiatives to implement best practices and adopt cutting-edge technologies. Engaging Community: Join a vibrant engineering community. Participate in learning sessions, workshops, hackathons, meetups, pair programming, and contribute to open-source projects. Personal Growth: Enhance your technical expertise and skillset by working with the latest technologies and engaging in professional courses and learning programs. Industry Impact: Collaborate with top-tier Software Engineers and partner with industry leaders like Facebook, Google, Twitter, Snapchat, and Tencent to shape the future of Ad-Tech. What You’ll Do: Design, develop, and maintain robust data platform solutions and features from concept to production. Build scalable systems for processing and organizing massive volumes of data. Collaborate with cross-functional teams, including Product Managers, Data Engineers/Analysts, and Software Engineers, to deliver innovative data solutions. Evaluate and integrate new technologies to improve platform performance and reliability. Ensure high-quality deliverables through rigorous unit and integration testing. Participate in system monitoring, on-call rotations, and troubleshooting to maintain platform stability. What You’ll Bring: A passion for designing and building scalable, high-performance data platforms. 3+ years of experience in backend or data engineering roles. Proficiency in programming languages such as Python, Java, or Scala. Solid experience with big data technologies like Spark, Hadoop, or Kafka. Strong problem-solving skills, a positive attitude, and a willingness to learn and take on challenges. Ability to independently drive feature development from concept to delivery. Excellent collaboration and communication skills. Bonus Points: Experience with cloud platforms like AWS or GCP. Familiarity with infrastructure-as-code tools like Terraform. Previous experience in building SaaS platforms or working in the Ad-Tech industry. A degree in Computer Science, Software Engineering, or a related field. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Science Industries IT Services and IT Consulting #J-18808-Ljbffr

Job Details

Salary: 80.00 -  100.00
Posted: 28-02-2025
Category: Database, Analytics BI
Banana Shire, 

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