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job details

summary

    job details
    • 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