Data Engineer

3 tygodni temu

Al Jerozolimskie Warszawa, Polska Kevin Edward Pełny etat

7+ years

Responsibilities:

  • Design, develop, and maintain efficient and scalable data pipelines and ETL processes for processing large datasets.
  • Collaborate with data scientists, analysts, and other teams to understand data requirements and ensure data availability and quality.
  • Work with Snowflake to manage data warehousing solutions, ensuring optimal performance and storage efficiency.
  • Develop and implement data models to support reporting, analytics, and machine learning applications.
  • Write high-quality code in Java or Python to process, clean, and transform data.
  • Manage data architecture and ensure effective integration of various data sources.
  • Troubleshoot, optimize, and ensure the health of data pipelines and systems.
  • Create and maintain documentation for data processes, ETL workflows, and data models.
  • Stay up-to-date with emerging trends and technologies in data engineering to continuously improve our systems and processes.

Requirements:

  • 7+ years of hands-on experience in data engineering, working with large-scale data systems and data warehousing.
  • Extensive experience with Snowflake for data warehousing, data modeling, and performance tuning.
  • Strong programming skills in Java or Python for building ETL processes and data pipelines.
  • Experience in designing and implementing data models, ensuring efficient and scalable data storage solutions.
  • Proficiency in ETL processes, including data extraction, transformation, and loading from multiple sources.
  • Solid understanding of database management systems, data storage architectures, and data quality practices.
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
  • Strong problem-solving skills with the ability to troubleshoot complex data issues.
  • Excellent communication skills and the ability to work collaboratively in a cross-functional team.

Preferred Qualifications:

  • Experience with other data warehousing technologies such as Redshift, BigQuery, or similar.
  • Knowledge of data governance, data security, and compliance practices.
  • Familiarity with orchestration tools like Apache Airflow or similar.
  • Experience with machine learning pipelines and frameworks.

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