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- Aufgaben: Join our team to design scalable data solutions and develop impactful data pipelines.
- Arbeitgeber: Digital Turbine connects consumers, publishers, and advertisers in the mobile ecosystem.
- Mitarbeitervorteile: Enjoy a dynamic work culture with opportunities for innovation and growth.
- Warum dieser Job: Be part of an award-winning company that values diversity and fosters collaboration.
- Gewünschte Qualifikationen: 3+ years in Scala, experience with Python and big data frameworks required.
- Andere Informationen: Remote work options available; we celebrate diverse backgrounds and perspectives.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
At Digital Turbine , we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.
We\’re looking for a Data Engineer to join our amazing and dynamic team.
Responsibilities of the Data Engineer role:
- Create highly scalable and fault tolerant technical designs working with team members (up to 5 people)
- Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization in reaching strategic goals
- Write high-quality code, conduct and participate in code reviews, and follow strong engineering principles and standards
- Research the technical feasibility of new ideas and actively suggest technology improvements
- Quickly develop a thorough understanding of the product, architecting the system and shipping production ready code
- Write maintainable code that can scale fast
- Support and contribute to our amazing work culture
Qualifications of the Data Engineer role:
- General:
- Profound experience & understanding of object-oriented design, design patterns, micro services architecture, data structure, algorithms and their complexities, systems architecture
- Skilled in writing and automating tests for your code
- Proven working experience with cloud platforms
- Working experience with OLTP databases, specifically MySQL, understands day to day challenges related to query execution and optimization (e.g. indexing, cascading)
- Working experience with big data aggregation frameworks (spark)
- Experience with streaming platforms like Kafka and rabbitMQ
- Experience working in an agile environment
- Experience with C++ or any front-end framework is a plus
- Big Data related :
- 3+ years of experience with writing code in Scala
- Experience with Python, Spark, Airflow
- Experience with Scala testing frameworks
- Understanding of data-warehousing and data-modeling techniques
- Proven experience with writing code for spark data processing
- Familiarity with various OLAP data stores (Druid, ClickHouse etc) and their insights
- Experience with at least one columnar OLAP databases
- Familiarity with industry-standard analytics and visualization tools
About Digital Turbine:
Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.
The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.
We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn\’s Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode\’s 100 Best Companies to Work in 2024.
Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.
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Data Engineer Arbeitgeber: Digital Turbine
Kontaktperson:
Digital Turbine HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Scala, Spark, and Kafka. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the data engineering community online. Participate in forums, attend webinars, or join relevant groups on platforms like LinkedIn. This not only helps you stay updated on industry trends but also expands your network, which can be beneficial when applying for positions.
✨Tip Number 3
Prepare to discuss your previous experiences with data pipelines and cloud platforms during interviews. Be ready to share specific examples of challenges you've faced and how you overcame them, as this demonstrates your problem-solving abilities and technical expertise.
✨Tip Number 4
Showcase your understanding of agile methodologies. If you have experience working in agile teams, be sure to highlight this in conversations, as it aligns with the company culture and their approach to project management.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications of the Data Engineer position at Digital Turbine. Tailor your application to highlight relevant experiences and skills that align with their needs.
Highlight Technical Skills: In your CV and cover letter, emphasize your experience with object-oriented design, cloud platforms, and big data frameworks like Spark and Kafka. Be specific about your proficiency in Scala and Python, as well as any relevant projects you've worked on.
Showcase Problem-Solving Abilities: Digital Turbine values innovation and problem-solving. Include examples in your application that demonstrate how you've tackled complex technical challenges or contributed to technology improvements in previous roles.
Communicate Effectively: Since excellent verbal and written communication skills are essential for this role, ensure your application is clear, concise, and free of errors. Use professional language while also conveying your enthusiasm for the position and the company.
Wie du dich auf ein Vorstellungsgespräch bei Digital Turbine vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with object-oriented design, microservices architecture, and data structures. Highlight specific projects where you've implemented scalable solutions and how you approached challenges related to query execution and optimization.
✨Demonstrate Your Coding Proficiency
Since writing high-quality code is crucial for this role, be ready to share examples of your work in Scala, Python, and Spark. Discuss your experience with testing frameworks and how you ensure your code is maintainable and efficient.
✨Understand the Company’s Products
Take time to familiarize yourself with Digital Turbine's mobile advertising platform and its impact on users and advertisers. Being able to articulate how your skills can contribute to their goals will show your genuine interest in the position.
✨Emphasize Collaboration and Culture Fit
Digital Turbine values a strong work culture, so be prepared to discuss how you’ve contributed to team dynamics in previous roles. Share examples of how you’ve worked in agile environments and supported your colleagues in achieving common goals.
