Lead Data Engineer

1 tydzień temu


Kraków, Lesser Poland GPC GLOBAL TECHNOLOGY CENTER Pełny etat

Technologies-expected : Google Cloud Platform SQL Python about-project : Working with a modern analytics stack, including Google Cloud, Big Query, Informatica and Python, the Lead Data Engineer will be building data pipelines, transforming, structuring, and operationalising data to support BI, Analytics and Data Science projects.


responsibilities :
Contribute to the development and design of the data platform, including the design and execution of data extraction, transformation, and optimal data pipeline architectures and solutions at an enterprise scale to enable business intelligence, analytics, and data science use-cases Design and implement processes around data-loading, data-transformation and feature engineering as well as access control, data security and data privacy Develop complex code-based ETL/ELT data pipelines with performance optimised data modelling Develop source of truth data models to power business analytics solutions using data warehouse modelling techniques, data quality checks, reconciliation processes and thorough testing practices Establish and implement best practices in coding, monitoring and alerting, using CI/CD and other relevant techniques Ensure code is manage, validated, and released using best practices (Dev Ops) making effective use of automation for these processes Maintain a repeatable and automated approach to data management including a continuous deployment pipeline, centralised configuration management, automated testing patterns, provisioning of environments and controlled release to production Ensure all features and new releases are tested, upgraded, and changed as necessary from a data perspective Take proactive action to ensure that WHS practices and policies are in place to provide a safe environment for themselves and all team members, and adhere to legislative requirements, company expectations and other safety initiatives Follow safe work and operating procedures at all times Ensure the work area is kept in a neat and tidy manner, free from hazards Promptly report all OHS hazards, injuries and incidents Understand and demonstrate behaviour in accordance with all Company policies and procedures, including Code of Conduct, Discrimination, Bullying and EEO and all applicable laws whilst ensuring continual compliance with relevant legislation relevant to the role including WHS All other tasks as directed by Manager requirements-expected : Proficiency in designing efficient and robust ETL/ELT workflows, data modelling and data pipelines – batch and/or event driven Proficiency in designing data solutions and creating solution architecture Experience working in a complex enterprise data warehouse environment and developing and maintaining pipeline processes to move and transform data Experience with data warehousing principles, including orchestration framework, schema structure and data architecture principles Extensive experience with Google Cloud Platform (GCP)

Experience with Informatica ETL and Governance Ability to write robust code in SQL, and Python benefits :
sharing the costs of sports activities private medical care sharing the costs of professional training & courses life insurance coffee / tea meal passes sharing the commuting costs extra leave work in international teams friendly atmosphere copyrights for IT roles hybrid work
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