Senior Data Engineer

2 tygodni temu


Warszawa, Mazovia, Polska Third-Party Job Posts Pełny etat

You'll Succeed With:

  • BS or MS in computer science or a related technical field.
  • Proven experience as a big data engineer or a similar role, with a deep understanding of big data technologies, frameworks, and best practices.
  • Designing and implementing large-scale, distributed data processing systems using technologies such as Apache Hadoop, Apache Spark, or Apache Flink.
  • Developing and optimizing data pipelines and workflows for ingesting, storing, processing, and analyzing large volumes of structured and unstructured data.
  • Building and maintaining data infrastructure, including data lakes, data warehouses, and real-time streaming platforms.
  • Designing and implementing data models and schemas for efficient data storage and retrieval.
  • Ensuring the scalability, availability, and fault-tolerance of big data systems through proper configuration, monitoring, and performance tuning.
  • Identifying and evaluating new technologies, tools, and frameworks to improve the efficiency and effectiveness of big data processing.
  • Implementing data security and privacy measures to protect sensitive information throughout the data lifecycle.
  • Knowledge of distributed computing principles and technologies, such as HDFS, YARN, and containerization (e.g., Docker, Kubernetes).
  • Understanding of real-time streaming technologies and frameworks, such as Kafka (Confluent) or Apache Flink.
  • Strong problem-solving skills and ability to optimize and tune big data processing systems for performance and scalability.
  • Excellent communication and teamwork skills to collaborate with cross-functional teams and stakeholders.

Nice to Haves:

  • Leadership skills: guiding and mentoring junior members, coordinating projects and collaborating with other teams.
  • Problem solving: Dealing with complex challenges, optimizing data pipelines and ensuring data quality and troubleshooting issues.
  • Domain Knowledge:Having understanding of the hospitality industry can greatly enhance your ability to design and build effective data pipelines.
  • Data Architecture Expertise: Contributing to designing data architecture and system and having deep understanding of data storage and ability to design a robust, scalable and maintainable architecture is a valuable skill.
  • Performance Optimization: Being able to optimize the performance of data pipelines is a crucial skill such as query optimization, indexing, caching and data partitioning and sharding.
  • Data Governance and compliance: having an understanding of different data governance principles and compliance regulations such as GDPR and HIPAA is very important.
  • Programming knowledge: Knowledge of Python and SQL is essential, familiarity with Java and other languages is a plus.
  • Experience working with a remote-first and globally distributed team
  • Experience with CI/CD tooling, including GitHub Actions and Build Workflows
  • Knowledge of Confluent and AWS

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