Senior Data Engineer

2 weeks ago


Remote, Czech Republic 7N Sp. z o.o. Full time
Job Title: Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our team at 7N Sp. z o.o. The ideal candidate will have a strong background in designing and developing data pipelines, implementing data models, and executing best practices for developing data products.

Key Responsibilities:
  • Design and Development of Data Pipelines: Design, develop, and maintain robust, scalable, and efficient ETL/ELT pipelines to support diverse data sources and large-scale data processing.
  • Data Modeling: Create and maintain data models and data architecture to ensure data integrity and optimum performance.
  • Best Practices Implementation: Apply industry best practices in data warehousing, data governance, and data lifecycle management.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to gather requirements and deliver high-quality data products.
  • Automation and CI/CD: Implement CI/CD pipelines using GitLab for automated testing, deployment, and integration of data workflows.
  • Database Management: Manage and optimize Snowflake databases for performance, scalability, and cost-effectiveness.
  • Coding and Scripting: Write efficient SQL queries and Python scripts to extract, load, and transform data.
  • Version Control: Utilize Git for version control, ensuring traceable and manageable code changes.
  • Orchestration: Utilize orchestration tools like Airflow and AutoMateNow to manage and automate data workflows.
  • Data Governance: Implement and manage data governance and data observability solutions using technologies like Monte Carlo and Collibra.
  • Monitoring and Optimization: Monitor data pipeline performance and troubleshoot issues to ensure reliability and efficiency.
  • Documentation: Maintain comprehensive documentation for data pipelines, models, and processes.

Requirements:

  • Data engineering experience with cloud technologies, specifically AWS S3, Redshift, and Lambda.
  • Proficiency in GitLab CI/CD pipelines and dbt for data transformation.
  • Strong knowledge of Snowflake and SQL for data querying and manipulation.
  • Experience with Python scripting and automation tasks.
  • Familiarity with DevOps practices and tools.
  • Orchestration skills with Airflow and AutoMateNow.
  • Data governance knowledge with Monte Carlo and Collibra.
  • Version control expertise with Git.

Nice to Have:

  • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
  • Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis).

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