Data Engineer

7 days ago

Budapest, Budapest, Hungary Kripson Staffing Full time

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Role:
Senior Date Engineer

Location: Budapest, Hungary

Hybrid: 3 days a week is required

Role Responsibilities

You will be responsible for:

  • Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks
  • Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.
  • Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.
  • Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations
  • Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives.
  • Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high quality.
  • Developing and maintain tooling and automation scripts to streamline repetitive tasks.
  • Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes
  • Utilizing REST APls and other integration techniques to connect various data sources
  • Maintaining documentation, including data flow diagrams, technical specifications, and processes.

You Have:

  • Proficiency in Python programming, including experience in writing efficient and maintainable code.
  • Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines
  • Proficiency in working with Snowflake or similar cloud-based data warehousing solutions
  • Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices
  • Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.
  • Experience with code versioning tools (e.g., Git)
  • Meticulous attention to detail and a passion for problem solving
  • Knowledge of Linux operating systems
  • Familiarity with REST APIs and integration techniques

You might also have:

  • Familiarity with data visualization tools and libraries (e.g., Power BI)
  • Background in database administration or performance tuning
  • Familiarity with data orchestration tools, such as Apache Airflow
  • Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing
  • Experience with ServiceNow integration

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