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Scalable Data Infrastructure Developer

1 tydzień temu

Kraków, Lesser Poland Experis ManpowerGroup Sp. z o.o. Pełny etat

Data Engineer Job Description

Experis ManpowerGroup Sp. z o.o. is looking for a talented Data Engineer to join our team, working on designing, building, and managing scalable big data architectures and solutions.

Responsibilities:

  • Develop and optimize data pipelines for processing large-scale datasets, ensuring high-quality and timely delivery.
  • Collaborate with cross-functional teams to integrate and process data from various sources, enabling analytics and reporting.
  • Implement real-time data processing and batch processing systems to meet business needs, ensuring scalability and reliability.
  • Monitor and troubleshoot big data systems to guarantee high availability and performance.
  • Evaluate and improve data infrastructure to support business growth, leveraging cloud-based solutions.

Requirements:

  • A minimum of 3+ years of experience in Big Data engineering or related roles.
  • Strong proficiency in big data technologies (e.g., Hadoop, Spark, Kafka, Hive, Flink).
  • Hands-on experience with data processing frameworks (e.g., Apache Hadoop, Apache Spark, Apache Flink).
  • Proficiency in programming languages such as Java, Scala, or Python.
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data services (e.g., AWS EMR, Google BigQuery).
  • Strong knowledge of data storage technologies (e.g., HDFS, NoSQL, relational databases).
  • Familiarity with ETL tools and frameworks for data integration and transformation.
  • Solid understanding of data architecture and data warehousing principles.
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
  • Strong problem-solving and troubleshooting skills.
  • Good communication skills and ability to work in a collaborative team environment.
  • Fluency in English (both written and spoken).