Analytics Data Engineer

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.