93 902
15 856
Technologies-expected : SQL Python about-project : Working with a modern analytics stack, including Google Cloud, Big Query, Informatica, and Python, the Senior Data Engineer will be building data pipelines, transforming, structuring, and operationalizing 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 optimized data modeling Develop source of truth data models to power business analytics solutions using data warehouse modeling 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 managed, 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, centralized 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 requirements-expected : Minimum 4 years of experience in a similar role Proficiency in designing efficient and robust ETL/ELT workflows, data modeling, 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 Experience with GCP cloud (3+ preferred). Experience with Informatica ETL and Governance Ability to write robust code in SQL, and Python Experience implementing and managing CI/CD process Experience with stakeholder management and engaging with business teams to facilitate data connectivity and exchange 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