JD:
We are looking for a skilled Data Visualization Software Developer Engineer with 6-8 years of experience in developing interactive dashboards and data-driven solutions using Looker and LookerML. The ideal candidate will have expertise in Google Cloud Platform (GCP) and BigQuery and a strong understanding of data visualization best practices. Experience in the media domain (OTT DTH Web) will be a plus.
Key Responsibilities:
Design develop and optimize interactive dashboards using Looker and LookerML.
Work with BigQuery to create efficient data models and queries for visualization.
Develop LookML models explores and derived tables to support business intelligence needs.
Optimize dashboard performance by implementing best practices in data aggregation and visualization.
Collaborate with data engineers analysts and business teams to understand requirements and translate them into actionable insights.
Implement security and governance policies within Looker to ensure data integrity and controlled access.
Leverage Google Cloud Platform (GCP) services to build scalable and reliable data solutions.
Maintain documentation and provide training to stakeholders on using Looker dashboards effectively.
Troubleshoot and resolve issues related to dashboard performance data accuracy and visualization constraints.
Maintain and optimize existing Looker dashboards and reports to ensure continuity and alignment with business KPIs
Understand audit and enhance existing LookerML models to ensure data integrity and performance
Build new dashboards and data visualizations based on business requirements and stakeholder input
Collaborate with data engineers to define and validate data pipelines required for dashboard development and ensure the timely availability of clean structured data
Document existing and new Looker assets and processes to support knowledge transfer scalability and maintenance
Support the transition/handover process by acquiring detailed knowledge of legacy implementations and ensuring a smooth takeover
JD: We are looking for a skilled Data Visualization Software Developer Engineer with 6-8 years of experience in developing interactive dashboards and data-driven solutions using Looker and LookerML. The ideal candidate will have expertise in Google Cloud Platform (GCP) and BigQuery and a strong und...
JD:
We are looking for a skilled Data Visualization Software Developer Engineer with 6-8 years of experience in developing interactive dashboards and data-driven solutions using Looker and LookerML. The ideal candidate will have expertise in Google Cloud Platform (GCP) and BigQuery and a strong understanding of data visualization best practices. Experience in the media domain (OTT DTH Web) will be a plus.
Key Responsibilities:
Design develop and optimize interactive dashboards using Looker and LookerML.
Work with BigQuery to create efficient data models and queries for visualization.
Develop LookML models explores and derived tables to support business intelligence needs.
Optimize dashboard performance by implementing best practices in data aggregation and visualization.
Collaborate with data engineers analysts and business teams to understand requirements and translate them into actionable insights.
Implement security and governance policies within Looker to ensure data integrity and controlled access.
Leverage Google Cloud Platform (GCP) services to build scalable and reliable data solutions.
Maintain documentation and provide training to stakeholders on using Looker dashboards effectively.
Troubleshoot and resolve issues related to dashboard performance data accuracy and visualization constraints.
Maintain and optimize existing Looker dashboards and reports to ensure continuity and alignment with business KPIs
Understand audit and enhance existing LookerML models to ensure data integrity and performance
Build new dashboards and data visualizations based on business requirements and stakeholder input
Collaborate with data engineers to define and validate data pipelines required for dashboard development and ensure the timely availability of clean structured data
Document existing and new Looker assets and processes to support knowledge transfer scalability and maintenance
Support the transition/handover process by acquiring detailed knowledge of legacy implementations and ensuring a smooth takeover
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