Job Title: Senior Looker Developer / Analytics Engineer

Experience: 5+ Years

Location: Chennai / Hyderabad

Job Overview

We are seeking a highly skilled Senior Looker Developer / Analytics Engineer with hands-on experience in LookML, data modeling, SQL, and cloud data warehouse platforms. The ideal candidate will be responsible for architecting data models, building scalable dashboards, ensuring data quality, and delivering analytics solutions that empower business stakeholders with actionable insights.

Key Responsibilities

Looker Development & Analytics:

Develop, maintain, and optimize LookML models, views, explores, and reusable components.
Build intuitive and visually compelling dashboards, reports, and self-service analytics for business teams.
Implement Looker best practices, including project structuring, naming conventions, versioning, and DRY principles.
Manage Looker permissions, user access, content organization, and governance.
Design and implement scalable dimensional data models following star/snowflake schema principles.
Collaborate with data engineering teams to translate business needs into well-structured analytical models.
Ensure data accuracy, consistency, and performance optimization across Looker projects.
Write complex and optimized SQL queries for data validation, transformation, and analysis.
Contribute to ELT processes by validating transformations in cloud warehouses (BigQuery, Snowflake, Redshift).
Analyze large datasets to identify trends, gaps, and data integrity issues.
Improve query performance through indexing, clustering, partitioning, and Looker query tuning.
Maintain documentation for LookML structures, BI processes, and analytical workflows.
Implement Git-based version control, pull requests, and code review best practices.
Work closely with business stakeholders to gather requirements and translate them into analytics solutions.
Partner with data engineering teams to address data gaps, schema design, and data pipeline dependencies.
Provide training and support to analysts and end users on Looker usage and self-service capabilities.
Strong hands-on experience designing LookML models, explores, views, and dashboards.
Experience with Looker permissions, content management, and Looker API (nice to have).
Expert-level SQL skills for:

Joins, aggregations, window functions
Query optimization and debugging
Data validation and reconciliation

Experience with cloud data warehouses:

Google BigQuery
Snowflake
Amazon Redshift

Strong understanding of:

Star & Snowflake schemas
Kimball dimensional modeling
Fact and dimension design
Data normalization and denormalization strategies

Experience using Git for:

Branching
Pull requests
Code reviews
Managing Looker projects

Experience with Python or scripting for data validation.
Exposure to dbt (Data Build Tool).
Understanding of ETL/ELT frameworks and pipeline dependency structures.
Familiarity with Agile/Scrum methodologies.

Soft Skills:

Strong analytical and problem-solving abilities.
Excellent communication and requirement-gathering skills.
Ability to work independently and handle multiple projects simultaneously.

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