To design and build solutions to ingest data from variety of sources in to Data and Analytics platforms at Lafargeholcim including cloud platforms like AWS/GCP/Azure
Build data pipelines that clean, transform, and aggregate data from disparate data sources. Strong analytical skills in working with structured and unstructured datasets
Develop and optimize scalable data pipelines, architectures & data sets and build new API integrations
Build processes to support data mining, data transformation, data structures, data modelling, metadata and workload management
Creating custom software components using languages sych R, Python etc. and tools to merge different systems together and develop a strong analytics infrastructure
Support Data Scientists to build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Enable delivery of business solutions on Lafargeholcim’s analytics platform that includes data security, governance, cataloging, preparation, automated testing, and data quality metrics.
Automate, optimize, migrate and enhance existing solutions.
Provide high operational excellence guaranteeing high availability and platform stability
Collaborate with analytics and business teams to improve data models, increasing data accessibility and fostering data-driven decision making
To design and build solutions to ingest data from variety of sources in to Data and Analytics platforms at Lafargeholcim including cloud platforms like AWS/GCP/Azure
Build data pipelines that clean, transform, and aggregate data from disparate data sources. Strong analytical skills in working with structured and unstructured datasets
Develop and optimize scalable data pipelines, architectures & data sets and build new API integrations
Build processes to support data mining, data transformation, data structures, data modelling, metadata and workload management
Creating custom software components using languages sych R, Python etc. and tools to merge different systems together and develop a strong analytics infrastructure
Support Data Scientists to build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Enable delivery of business solutions on Lafargeholcim’s analytics platform that includes data security, governance, cataloging, preparation, automated testing, and data quality metrics.
Automate, optimize, migrate and enhance existing solutions.
Provide high operational excellence guaranteeing high availability and platform stability
Collaborate with analytics and business teams to improve data models, increasing data accessibility and fostering data-driven decision making