Analytics Engineer

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Analytics Engineer

Key Responsibilities

  • Design, develop, and maintain 

    LookML models

     in Looker to enable robust self-service analytics.
  • Build reusable, scalable 

    data pipelines

     and transformations in 

    BigQuery

    .
  • Partner with business stakeholders to translate reporting requirements into efficient data models and visualizations.
  • Ensure 

    data accuracy, consistency, and performance optimization

     across dashboards and queries.
  • Implement 

    centralized metrics and definitions

     for consistent business reporting.
  • Work with cross-functional teams (data engineering, product, business) to align data models with business needs.
  • Monitor and troubleshoot Looker dashboards, BigQuery performance issues, and data pipeline failures.
  • Stay current with industry best practices in modern BI, analytics engineering, and cloud data platforms.

Required Skills & Qualifications

  • Proven experience as an 

    Analytics Engineer, BI Developer, or Data Analyst

     with strong technical ownership.
  • Advanced proficiency in SQL

     (preferably Google BigQuery).
  • Hands-on experience with 

    Looker

     (LookML, Explores, Views, PDTs, user permissions).
  • Strong understanding of 

    data modeling principles

     (star schema, snowflake schema, slowly changing dimensions).
  • Experience with 

    data warehousing concepts

     and modern cloud data platforms (preferably GCP).
  • Ability to optimize SQL queries and Looker Explores for 

    performance and scalability

    .
  • Strong problem-solving skills and ability to work with 

    large, complex datasets

    .
  • Excellent communication skills to collaborate with technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with 

    version control (Git)

     and collaborative LookML development.
  • Familiarity with 

    dbt (data build tool)

     for transformation modeling.
  • Knowledge of other BI/visualization tools (Tableau, Power BI) is a plus.
  • Understanding of 

    ETL/ELT pipelines

     and orchestration tools (Airflow, Cloud Composer).


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