Senior Databricks Engineer

4 tygodni temu

Gdańsk, Trójmiasto, Polska Entrada Pełny etat 26 zł - 880 zł

Key Responsibilities

  • Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

  • Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

  • Optimize data architectures and workflows for performance, scalability, and cost-efficiency.

  • Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.

  • Ensure data quality, integrity, and security by implementing best practices in data governance and management.

  • Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.

  • Mentor and guide junior data engineers, providing technical leadership and support.

  • Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems.


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.

  • 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems

  • 3+ years of experience with Databricks

  • Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases

  • Strong programming skills in languages such as Python, Java, or Scala.

  • Experience with ETL tools and frameworks and data pipeline orchestration.

  • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).

  • Strong understanding of data warehousing concepts, data modeling, and schema design.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication skills and ability to work effectively in a team-oriented environment

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