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DigitalTurbine Data Engineer 
Germany, Berlin, Berlin 
893561899

23.06.2024
About the 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.
About You:
    • Deep experience & understanding of object-oriented design, design patterns, micro services architecture, data structure, algorithms and their complexities, and systems architecture
    • Skilled in writing and automating tests for your code
    • Proven working experience with cloud platforms.
    • Demonstrated experience with OLTP databases, specifically MySQL (understanding of day to day challenges related to query execution and optimization, e.g. indexing and 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 spoken and written communication skills in English
Big Data Skills:
    • 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