Analytics Data Engineer

Job Description

Location: Gurgaon Experience: 4–8 Years Work Mode: [Hybrid / Remote] Start Date: Immediate Joiner Preferred Role Overview : We are looking for an Analytics Data Engineer with strong hands-on experience in Looker and proven ability to extract meaningful insights from product and behavioral data. The ideal candidate will also bring solid experience in Analytics Engineering tools like DBT, Snowflake, Airflow, and Fivetran (or similar) to build scalable and reliable data pipelines. This is a backfill for a critical role, and we are looking for someone who can hit the ground running and experiment with product data to uncover actionable insights for stakeholders. Key Responsibilities: Build and maintain Looker dashboards and reports for business and product teams. Perform data modeling using LookML and manage Looker’s semantic layer. Collaborate with stakeholders to understand analytics needs and translate them into scalable solutions. Design, build, and optimize data transformation workflows using DBT . Develop and maintain ETL/ELT pipelines using Fivetran or similar tools. Work with large datasets in Snowflake , ensuring performance and data integrity. Conduct deep-dive analysis on product usage data to drive experimentation and decision-making. Ensure best practices in code versioning, documentation, testing, and deployment. Required Skills & Qualifications: 4–8 years of experience in Business Intelligence and Data Engineering roles. Strong hands-on experience with Looker (LookML, Dashboarding, Embedded Analytics). Solid understanding of data modeling and transformation using DBT . Proficiency in Snowflake (or similar cloud data warehouses like Redshift or BigQuery). Experience with Fivetran or other ELT tools. Strong SQL skills and understanding of modern data stack architecture. Ability to work independently in a fast-paced, product-focused environment. Show more Show less