BI Developer (Looker)

Zorba AI
Posted on
Zorba AI logo

Experience
5 - 8 yrs
Job Location
Kolkata, India
Vacancy
1
Designation
BI Developer
Job Type
Not specified

Job Description

Experience: 5 8 years

Key Responsibilities

  • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

  • Design, develop, and maintain LookML models, including views, explores, and dashboards.

  • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

  • Develop reusable semantic models aligned with enterprise data standards and governance practices.

  • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

  • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

  • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

  • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

  • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.

Required Skills Experience

  • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

  • Expertise in SQL and ability to write complex, optimized queries.

  • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

  • Strong understanding of data modeling concepts (dimensional modeling, star schema).

  • Experience in performance tuning and query optimization in BI/reporting environments.

  • Familiarity with Agile/Scrum delivery models and tools like JIRA.

  • Good understanding of data validation, testing, and troubleshooting techniques.

Nice to Have

  • Exposure to data governance, security, and compliance frameworks.

  • Experience with Snowflake-native features (views, access controls, performance tuning).





Experience: 5 8 years

Key Responsibilities

  • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

  • Design, develop, and maintain LookML models, including views, explores, and dashboards.

  • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

  • Develop reusable semantic models aligned with enterprise data standards and governance practices.

  • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

  • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

  • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

  • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

  • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.

Required Skills Experience

  • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

  • Expertise in SQL and ability to write complex, optimized queries.

  • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

  • Strong understanding of data modeling concepts (dimensional modeling, star schema).

  • Experience in performance tuning and query optimization in BI/reporting environments.

  • Familiarity with Agile/Scrum delivery models and tools like JIRA.

  • Good understanding of data validation, testing, and troubleshooting techniques.

Nice to Have

  • Exposure to data governance, security, and compliance frameworks.

  • Experience with Snowflake-native features (views, access controls, performance tuning).

  • Experience: 5 8 years


    Key Responsibilities


    • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

    • Design, develop, and maintain LookML models, including views, explores, and dashboards.

    • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

    • Develop reusable semantic models aligned with enterprise data standards and governance practices.

    • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

    • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

    • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

    • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

    • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


    Required Skills Experience


    • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

    • Expertise in SQL and ability to write complex, optimized queries.

    • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

    • Strong understanding of data modeling concepts (dimensional modeling, star schema).

    • Experience in performance tuning and query optimization in BI/reporting environments.

    • Familiarity with Agile/Scrum delivery models and tools like JIRA.

    • Good understanding of data validation, testing, and troubleshooting techniques.


    Nice to Have


    • Exposure to data governance, security, and compliance frameworks.

    • Experience with Snowflake-native features (views, access controls, performance tuning).





  • Experience: 5 8 years


    Key Responsibilities


    • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

    • Design, develop, and maintain LookML models, including views, explores, and dashboards.

    • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

    • Develop reusable semantic models aligned with enterprise data standards and governance practices.

    • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

    • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

    • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

    • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

    • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


    Required Skills Experience


    • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

    • Expertise in SQL and ability to write complex, optimized queries.

    • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

    • Strong understanding of data modeling concepts (dimensional modeling, star schema).

    • Experience in performance tuning and query optimization in BI/reporting environments.

    • Familiarity with Agile/Scrum delivery models and tools like JIRA.

    • Good understanding of data validation, testing, and troubleshooting techniques.


    Nice to Have


    • Exposure to data governance, security, and compliance frameworks.

    • Experience with Snowflake-native features (views, access controls, performance tuning).





  • Experience: 5 8 years


    Key Responsibilities


    • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

    • Design, develop, and maintain LookML models, including views, explores, and dashboards.

    • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

    • Develop reusable semantic models aligned with enterprise data standards and governance practices.

    • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

    • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

    • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

    • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

    • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


    Required Skills Experience


    • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

    • Expertise in SQL and ability to write complex, optimized queries.

    • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

    • Strong understanding of data modeling concepts (dimensional modeling, star schema).

    • Experience in performance tuning and query optimization in BI/reporting environments.

    • Familiarity with Agile/Scrum delivery models and tools like JIRA.

    • Good understanding of data validation, testing, and troubleshooting techniques.


    Nice to Have


    • Exposure to data governance, security, and compliance frameworks.

    • Experience with Snowflake-native features (views, access controls, performance tuning).





  • Experience: 5 8 years


    Key Responsibilities


    • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

    • Design, develop, and maintain LookML models, including views, explores, and dashboards.

    • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

    • Develop reusable semantic models aligned with enterprise data standards and governance practices.

    • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

    • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

    • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

    • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

    • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


    Required Skills Experience


    • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

    • Expertise in SQL and ability to write complex, optimized queries.

    • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

    • Strong understanding of data modeling concepts (dimensional modeling, star schema).

    • Experience in performance tuning and query optimization in BI/reporting environments.

    • Familiarity with Agile/Scrum delivery models and tools like JIRA.

    • Good understanding of data validation, testing, and troubleshooting techniques.


    Nice to Have


    • Exposure to data governance, security, and compliance frameworks.

    • Experience with Snowflake-native features (views, access controls, performance tuning).

    • Experience: 5 8 years


      Key Responsibilities


      • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

      • Design, develop, and maintain LookML models, including views, explores, and dashboards.

      • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

      • Develop reusable semantic models aligned with enterprise data standards and governance practices.

      • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

      • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

      • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

      • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

      • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


      Required Skills Experience


      • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

      • Expertise in SQL and ability to write complex, optimized queries.

      • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

      • Strong understanding of data modeling concepts (dimensional modeling, star schema).

      • Experience in performance tuning and query optimization in BI/reporting environments.

      • Familiarity with Agile/Scrum delivery models and tools like JIRA.

      • Good understanding of data validation, testing, and troubleshooting techniques.


      Nice to Have


      • Exposure to data governance, security, and compliance frameworks.

      • Experience with Snowflake-native features (views, access controls, performance tuning).





    • Experience: 5 8 years


      Key Responsibilities


      • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

      • Design, develop, and maintain LookML models, including views, explores, and dashboards.

      • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

      • Develop reusable semantic models aligned with enterprise data standards and governance practices.

      • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

      • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

      • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

      • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

      • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


      Required Skills Experience


      • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

      • Expertise in SQL and ability to write complex, optimized queries.

      • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

      • Strong understanding of data modeling concepts (dimensional modeling, star schema).

      • Experience in performance tuning and query optimization in BI/reporting environments.

      • Familiarity with Agile/Scrum delivery models and tools like JIRA.

      • Good understanding of data validation, testing, and troubleshooting techniques.


      Nice to Have


      • Exposure to data governance, security, and compliance frameworks.

      • Experience with Snowflake-native features (views, access controls, performance tuning).





    • Experience: 5 8 years


      Key Responsibilities


      • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

      • Design, develop, and maintain LookML models, including views, explores, and dashboards.

      • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

      • Develop reusable semantic models aligned with enterprise data standards and governance practices.

      • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

      • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

      • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

      • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

      • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


      Required Skills Experience


      • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

      • Expertise in SQL and ability to write complex, optimized queries.

      • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

      • Strong understanding of data modeling concepts (dimensional modeling, star schema).

      • Experience in performance tuning and query optimization in BI/reporting environments.

      • Familiarity with Agile/Scrum delivery models and tools like JIRA.

      • Good understanding of data validation, testing, and troubleshooting techniques.


      Nice to Have


      • Exposure to data governance, security, and compliance frameworks.

      • Experience with Snowflake-native features (views, access controls, performance tuning).

      • Experience: 5 8 years


        Key Responsibilities


        • Collaborate with business stakeholders and analysts to gather requirements and translate them into scalable Looker data models and dashboards.

        • Design, develop, and maintain LookML models, including views, explores, and dashboards.

        • Build intuitive, high-performance dashboards and reports to enable self-service analytics for business users.

        • Develop reusable semantic models aligned with enterprise data standards and governance practices.

        • Optimize Looker queries and dashboard performance for large-scale datasets, especially on Snowflake or cloud data platforms.

        • Ensure data accuracy and consistency by validating data pipelines and coordinating with data engineering teams.

        • Implement row-level security (RLS) and access controls to ensure secure and compliant data access.

        • Participate in Agile development processes including sprint planning, backlog grooming, and release cycles.

        • Support production deployments, issue resolution, and ongoing enhancements to reporting solutions.


        Required Skills Experience


        • Strong hands-on experience with Looker (LookML, dashboards, explores, and reporting).

        • Expertise in SQL and ability to write complex, optimized queries.

        • Experience working with cloud-based data warehouses such as Snowflake (preferred), Big Query, or Redshift.

        • Strong understanding of data modeling concepts (dimensional modeling, star schema).

        • Experience in performance tuning and query optimization in BI/reporting environments.

        • Familiarity with Agile/Scrum delivery models and tools like JIRA.

        • Good understanding of data validation, testing, and troubleshooting techniques.


        Nice to Have


        • Exposure to data governance, security, and compliance frameworks.

        • Experience with Snowflake-native features (views, access controls, performance tuning).

















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