Senior Data Engineer

vor 3 Wochen

Berlin, Berlin, Deutschland Digital Turbine Vollzeit

Senior Data Engineer

At Digital Turbine, we're looking for a skilled Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for designing and implementing data pipelines that extract, transform, and load data into an information product that helps inform the organization in reaching strategic goals.

Responsibilities:

  • Create highly scalable and fault-tolerant technical designs working with a team of up to 5 people.
  • Develop and implement data pipelines that extract, transform, and load data into an information product that helps 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:

  • Profound experience and understanding of object-oriented design, design patterns, microservices 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 (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 Qualifications:

  • 5+ 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 database.
  • Familiarity with industry-standard analytics and visualization tools.

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