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DigitalTurbine Data Engineer Germany, Berlin, Berlin 779239588
22.01.2025
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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
- Excellent verbal and written communication skills in English
- 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
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