Data Engineer
TypeFull-time job
LocationUnited States
Posted1 hour ago
Data Engineer
Our client, a world leading petrol chemical producer is actively looking for a Data Engineer. The incumbent will be responsible for collaborating across the business and working with heterogenous data sources to build, manage and optimise data pipelines to maximise the business value. The Data Engineer will also ensure compliance with data governance and data security requirements.
Responsibilities
Collaborate closely with relevant stakeholders to evangelise data management and rapidly design, build and embed data pipelines
Design and maintain data models to support business analytics
Drive automation using modern data and analytical tools to develop repeatable data integration and data preparation flows from multiple source systems into our data lake and enterprise data warehouse systems
Maintain data pipelines ensuring on-going adoption of automation and incorporation of best practice
Work alongside with stakeholders to understand business problems and support the integration of diverse data sets to support data science and advanced analytics activities
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent discipline
5+ years of experience in a Data Management discipline including experience in data warehousing concepts and data modelling
Strong experience working with heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using Talend and Azure Data Lake
Experience of working with Snowflake to build data warehouses / data marts, and experience of working with data from SAP, manufacturing, or research systems is strong plus but not required/compulsory
Basic understanding of popular open-source and commercial data science tools and platforms such as Python and Azure ML is an advantage
Experience working in a virtual team setting and self-driven with desire to take the lead and drive tasks to completion in a remote environment
Detail-oriented and strict attention to details and the ability to quickly spot and fix problems
Originally posted on Himalayas
Our client, a world leading petrol chemical producer is actively looking for a Data Engineer. The incumbent will be responsible for collaborating across the business and working with heterogenous data sources to build, manage and optimise data pipelines to maximise the business value. The Data Engineer will also ensure compliance with data governance and data security requirements.
Responsibilities
Collaborate closely with relevant stakeholders to evangelise data management and rapidly design, build and embed data pipelines
Design and maintain data models to support business analytics
Drive automation using modern data and analytical tools to develop repeatable data integration and data preparation flows from multiple source systems into our data lake and enterprise data warehouse systems
Maintain data pipelines ensuring on-going adoption of automation and incorporation of best practice
Work alongside with stakeholders to understand business problems and support the integration of diverse data sets to support data science and advanced analytics activities
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent discipline
5+ years of experience in a Data Management discipline including experience in data warehousing concepts and data modelling
Strong experience working with heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using Talend and Azure Data Lake
Experience of working with Snowflake to build data warehouses / data marts, and experience of working with data from SAP, manufacturing, or research systems is strong plus but not required/compulsory
Basic understanding of popular open-source and commercial data science tools and platforms such as Python and Azure ML is an advantage
Experience working in a virtual team setting and self-driven with desire to take the lead and drive tasks to completion in a remote environment
Detail-oriented and strict attention to details and the ability to quickly spot and fix problems
Originally posted on Himalayas
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