Data Visualization Engineer

You will be responsible for designing, developing, and optimizing interactive dashboards using Looker and LookML. This includes building LookML models, explores, and derived tables to meet business intelligence needs. You will create efficient data models and queries using BigQuery and collaborate with data engineers, analysts, and business teams to translate requirements into actionable insights. Implementing security and governance policies within Looker to ensure data integrity and controlled access will also be part of your role. Additionally, you will leverage GCP services to build scalable and reliable data solutions and optimize dashboard performance using best practices in aggregation and visualization. Maintaining, auditing, and enhancing existing Looker dashboards, reports, and LookML assets, as well as documenting dashboards, data sources, and processes for scalability and ease of maintenance, are critical tasks. You will also support legacy implementations and facilitate smooth transitions, build new dashboards and visualizations based on evolving business requirements, and work closely with data engineering teams to define and validate data pipelines for timely and accurate data delivery. To qualify for this role, you should have at least 6 years of experience in data visualization and BI, particularly using Looker and LookML. Strong SQL skills with experience optimizing queries for BigQuery are required, along with proficiency in Google Cloud Platform (GCP) and related data services. An in-depth understanding of data modeling, ETL processes, and database structures is essential, as well as familiarity with data governance, security, and role-based access in Looker. Experience with BI lifecycle management, strong communication and collaboration skills, good storytelling and user-centric design abilities, and exposure to the media industry (OTT, DTH, Web) handling large datasets are also necessary. Knowledge of other BI tools like Tableau, Power BI, or Data Studio is a plus, and experience with Python or other scripting languages for automation and data transformation is desirable. Exposure to machine learning or predictive analytics is considered an advantage.,