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 pipeline s, 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 APIs and other integration techniques to connect various data sources.
Maintaining documentation, including data flow diagrams, technical specifications, and processes.
Requirements
Bachelor’s / Master’s Degree in Computer Science, Mathematics or a related discipline.
7+ years of experience in data engineering.
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.
Knowledge of Linux operating systems.
Familiarity with REST APIs and integration techniques.
Experience with code versioning tools (e.g., Git).
Meticulous attention to detail and a passion for problem solving.
A good command of English and in general good communication skills.
Strong analytical and problem solving skills.
Strong collaboration and communication skills.
Hungarian citizenship and fluent Hungarian / English language skills is a must.
Advantages
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.
Benefits
You will have the opportunity to gain experience in exciting, long-term, innovative projects,
Work in a multinational environment,
A team of great engineers,
Cafeteria.
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Senior Data Engineer • Budapest, Budapest, HU
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