Beschreibung
Job
Responsibilities
Design, develop, and maintain scalable data pipelines for ingesting, transforming, and delivering data. Build and optimize data infrastructure to support analytics, machine learning, and business intelligence. Integrate structured and unstructured data from multiple sources into data lakes and data warehouses.
Develop and maintain ETL/ELT processes, including workflow orchestration and monitoring. Ensure data accuracy, availability, reliability, security, and performance across the data platform. Implement data quality validation, data lineage, logging, and alerting processes.
Optimize data processing performance and troubleshoot pipeline or data-related issues. Implement CI/CD practices for the development, testing, and deployment of data pipelines. Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders.
Prepare and maintain technical documentation, data models, and pipeline specifications.
Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Data Science, or a related field. Experience in Data Engineering, Data Pipeline Development, Big Data, or a related area. Proficiency in at least one programming language, such as Python, Scala, or Java.
Strong SQL skills with databases such as PostgreSQL, MySQL, or SQL Server. Experience with ETL/ELT processes and data pipeline orchestration. Good understanding of data architecture, data modelling, and data processing concepts.
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