Senior Looker Developer

6 years

25 - 30 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Job Title

: Senior Looker Developer (Contract – Remote)

Experience

: 6+ years

Location

: Remote

Contract Duration

: 6 months

Engagement Type

: Contract

Overview

We are seeking a highly experienced

Senior Looker Developer

to join our data team on a

contract basis

. The ideal candidate will have at least

6 years of overall experience

in data engineering or business intelligence roles, with a

strong focus on Looker

, LookML development, and semantic data modeling. This role requires hands-on experience working with modern cloud data stacks, especially

Google Cloud Platform (GCP)

and

dbt

, with Looker as the primary visualization and analytics layer.You’ll play a critical role in modernizing our data models, improving accessibility through semantic layers, and empowering business stakeholders with self-service analytics. This is a

remote opportunity

.

Key Responsibilities

Looker & LookML Development (Primary Focus):

  • Develop and maintain LookML models including views, explores, and dashboards using best practices.
  • Design scalable and efficient semantic data layers to enable consistent reporting and KPIs.
  • Build user-friendly dashboards and explores in Looker Studio tailored to business use cases.
  • Optimize query performance and dashboard load times for large datasets.
  • Implement row-level security, user attributes, and data governance across Looker instances.
  • Create documentation for LookML structures and train internal stakeholders on Looker usage.
  • Collaborate with business stakeholders to gather reporting requirements and convert them into actionable insights.

Data Engineering Support (GCP + dbt):

  • Work with the data engineering team to align dbt transformations with Looker data models.
  • Integrate Looker with Google BigQuery, ensuring high data availability and performance.
  • Participate in data pipeline optimization, testing, and validation across dbt and BigQuery.
  • Apply data modeling techniques (star schema, snowflake schema) for analytics-ready datasets.

Required Skills & Experience

  • 6+ years of professional experience in BI, data analytics, or data engineering roles.
  • 3+ years of strong hands-on experience in Looker and LookML.
  • Proficient in semantic modeling, business metric definitions, and building scalable explores.
  • Strong SQL expertise with performance tuning skills (preferably in BigQuery).
  • Hands-on experience with dbt (data build tool) for modeling and transformation.
  • Working knowledge of Google Cloud Platform (GCP) and data services like BigQuery.
  • Familiarity with Git workflows for version control of LookML code.
  • Understanding of data governance, access control, and security in BI environments.

Preferred Skills

  • Experience using Looker API or embedding Looker into external applications.
  • Familiarity with CI/CD workflows and deployment automation for BI tools.
  • Understanding of scripting languages such as Python for light automation.
  • Basic exposure to tools like Terraform or infrastructure-as-code for Looker deployments.

Soft Skills

  • Excellent communication and stakeholder management skills.
  • Problem-solving mindset and analytical thinking.
  • Ability to work independently and manage time across multiple workstreams.
  • Agile work ethic and openness to feedback and iteration.
Skills: lookml,looker,terraform,data governance,python,bigquery,semantic data modeling,ci/cd workflows,data engineering,analytics,looker api,google cloud platform (gcp),sql,gcp,google,git,dbt,data,git workflows,lookerml

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