Title: BI Engineer Duration: 12+ months contractLocation: 100% Remote from IndiaCandidate should be on notice or can join in 2 weeks. Open pay to right candidate. This role is ideal for someone who can write efficient SQL, build insightful dashboards, and think critically about data to drive business decisions.SQL & PL/SQL Strong skills in writing queries, handling large datasets, and optimizing performance using Google BigQuery or Cloud SQL.Critical Thinking – Ability to analyze data, identify trends, and solve business problems using data-driven insights.Looker and Plx – Experience in building dashboards, creating reports, and visualizing data from Google BigQuery, Sheets, and other sources.ETL & Data Pipelines – Familiarity with extracting, transforming, and loading (ETL) data from different sources for reporting.Business & Communication Skills – Ability to understand business needs and present data findings clearly to stakeholders.SQLCritical Thinking & Analytical SkillsBI Engineers must analyze large datasets, identify patterns, and generate actionable insights for decision-making.They should have strong problem-solving skills to debug data issues, optimize reports, and improve data pipelines.Ability to interpret business requirements and translate them into efficient BI solutions.Critical Thinking & Analytical SkillsBICandidates should be skilled in connecting Data Studio to Google BigQuery, Google Sheets, or external databases.Experience with data blending, calculated fields, custom reports, and performance optimization is a plus.Responsibilities: Manage reporting/dashboard plans, develop SQL pipelines, and design and own data models for a product or group of products. Interface with engineers, product managers, and product analysts to understand data and reporting needs. Build data expertise and own data quality in allocation areas of ownership. Design, develop, test, and launch new reports, pipelines, data aggregations, and dashboards into production. Provide support to reports, pipelines, and dashboards running in production. Design and manage SLAs for all data sets (existing and new) in allocated areas of ownership. Work with data infrastructure to triage infra issues and drive to resolution. We would like someone with strong SQL/pipeline experience, experience with HIVE or HBASE, and demonstrated ability and drive to learn new technologies, Looker, or other visualization tools.