3 Dashboard Optimization Jobs

Role Overview: 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 Required Skills & Experience: 6-8 years of experience in data visualization and business intelligence using Looker and LookerML. Strong proficiency in writing and optimizing SQL queries, especially for BigQuery. Experience in Google Cloud Platform (GCP), particularly with BigQuery and related data services. Solid understanding of data modeling, ETL processes, and database structures. Familiarity with data governance, security, and access controls in Looker. Strong analytical skills and the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills. Expertise in Looker and LookerML, including Explore creation, Views, and derived tables Strong SQL skills for data exploration, transformation, and validation Experience in BI solution lifecycle management (build, test, deploy, maintain) Excellent documentation and stakeholder communication skills for handovers and ongoing alignment Strong data visualization and storytelling abilities, focusing on user-centric design and clarity Preferred Qualifications: Experience working in the media industry (OTT, DTH, Web) and handling large-scale media datasets. Knowledge of other BI tools like Tableau, Power BI, or Data Studio is a plus. Experience with Python or scripting languages for automation and data processing. Understanding of machine learning or predictive analytics is an advantage.

Meet the Team We are seeking a highly skilled Staff Service Reliability Engineer to lead the deployment and optimization of Splunk for monitoring non-production, Engineering research and development equipment and workloads. This individual contributor role requires a strategic thinker with extensive experience in diverse IT environments and a comprehensive understanding of various hardware and operating systems, including testing equipment. Your Impact Splunk Deployment: Lead the deployment and ongoing management of Splunk to monitor non-production research and development resources in labs. Dashboard Optimization: Design and optimize dashboards to enhance data visualization and provide actionable insights. Data Feed Integration: Manage the integration of multiple data feeds into Splunk to ensure effective monitoring and analysis. AI Utilization: Leverage AI technologies to analyze alerting data, identify trends, and generate meaningful insights for operational improvements. Best Practice Implementation: Implement industry best practices in monitoring and observability to enhance system reliability and performance. Collaborative Engagement: Engage with cross-functional teams to align monitoring solutions with organizational objectives. Lead and/or participate in global cross-functional meetings and discussions. Flexible (non-India Standard Time (IST)) hours may be required. Documentation: Develop and maintain comprehensive documentation of monitoring processes and system configurations. Minimum Qualifications Experience : BE/M.tech with 14+ years of experience in managing IT systems across a range of environments with diverse hardware and operating systems. Splunk Expertise : Proven expertise in Splunk administration, including dashboard creation and data integration. Problem Solving : Strong problem-solving skills with the ability to address complex technical challenges. Communication : Excellent communication skills to effectively convey technical concepts to various stakeholders. Team Collaboration : Ability to work collaboratively with team members and contribute to a positive team dynamic. Preferred Qualifications B.E / M.Tech in Computer Science or Information Technology with 14-17 years of hands on experience Proficiency in Python with hands-on experience and exposure in developing machine learning, deep learning and data science Demonstrated expertise in Python scripting for developing, automating, and integrating scalable solutions. Proven proficiency in Java with a solid foundation in object-oriented design and application development. Extensive experience in implementing and tuning machine learning algorithms to solve complex problems. Ability to integrate machine learning models within both Python and Java-based applications for seamless functionality. Strong analytical skills with a proven track record of leveraging programming and ML techniques to drive data-driven decision making. Demonstrated proficiency in SQL for data manipulation and extraction, with a focus on optimizing complex queries for performance. Extensive experience in designing, maintaining, and scaling relational databases to support enterprise applications and machine learning workflows.

Proven experience as a Splunk Engineer with a focus on Splunk Cost Management, Performance Bottlenecks, search and dashboard optimization. Optimize search queries and ensure efficient use of resources within the Splunk environment Strong understanding of Splunk architecture, search processing language (SPL), and data models Proficiency in system monitoring and triaging with monitoring tools Proficiency in scripting languages such as Python. Excellent problem-solving and analytical skills. Excellent Communication skills and ability to handle multiple teams / stakeholders. Roles & Responsibilities: List down all Splunk Dashboards across all apps Perform clean-up of unused ones Optimize Splunk Queries for heavy usage dashboards Splunk Index level access to be tracked and understand the usage cost (Users vs Cost) Revisit all standard queries and publish optimized Splunk queries Educate and groom team on these practices All this to be done for 80-100 Splunk indexes and direct 240+ RTS team Please also note that Build users also access Splunk Pls share cvs at [HIDDEN TEXT]