Tableau Developer ( Migration from Looker to Tableau ) Remote

Migration & Development

•       Migrates existing Looker Pro dashboards, reports, and Looks to Tableau Desktop/Server/Online.

•       Re-create LookML models, dimensions, and measures in Tableau using calculated fields, data sources, and extracts.

•       Ensure 1:1 parity of KPIs, metrics, and visualizations between Looker Pro and Tableau.

•       Develop complex Tableau dashboards with interactivity — filters, parameters, drill-downs, and actions.

•       Convert Looker Explore queries into optimized Tableau data connections and custom SQL.

Data & Analytics

•       Connect Tableau to various data sources including cloud warehouses (BigQuery, Snowflake, Redshift, etc.).

•       Design and optimize data extracts and live connections for performance.

•       Build and maintain reusable data sources, calculated fields, and Tableau Prep flows.

•       Validate migrated reports against source data to ensure accuracy and consistency.

Stakeholder Collaboration

•       Collaborate with business teams to understand reporting requirements and translate them into Tableau solutions.

•       Conduct demos and training sessions to help end-users adopt Tableau post-migration.

•       Document migration mappings, data lineage, and Tableau best practices.

•       Communicate migration progress, blockers, and timelines to project stakeholders.

Governance & Best Practices

•       Establish and follow Tableau development standards, naming conventions, and version control practices.

•       Manage Tableau Server/Online: publish workbooks, manage permissions, user groups, and schedules.

•       Ensure report performance through query optimization and efficient dashboard design.

Tableau (Expert Level — Must Have)

•       5 years of hands-on experience with Tableau Desktop, Tableau Server, or Tableau Online.

•       Proficiency in building complex dashboards with calculated fields, LOD expressions, table calculations, and parameters.

•       Strong knowledge of Tableau data connections — live, extract, published data sources.

•       Experience with Tableau Prep Builder for data transformation and cleaning.

•       Familiarity with Tableau REST API and admin capabilities.

•       Ability to optimize dashboards for performance — extract optimization, query reduction, layout best practices.

Looker Pro (Working Knowledge — Must Have)

•       Solid understanding of Looker Pro's interface, Explores, Looks, and Dashboards.

•       Ability to read and interpret LookML — models, views, dimensions, measures, and explores.

•       Experience running Looker queries, extracting data, and analyzing existing report logic.

•       Understanding of Looker's data modeling concepts to accurately map them to Tableau equivalents.

Technical Skills

•       Strong SQL skills — writing complex queries, CTEs, window functions, and query optimization.

•       Experience with cloud data warehouses: BigQuery, Snowflake, Redshift, or Azure Synapse.

•       Working knowledge of data modeling concepts (star schema, data marts, aggregations).

•       Familiarity with Git or version control for managing workbook/code changes.

•       Tableau Desktop Specialist or Tableau Certified Data Analyst certification.

•       Prior experience in a formal BI migration project (tool-to-tool or on-prem to cloud).

•       Knowledge of Python or R for data prep or automation scripts.

•       Experience with dbt (data build tool) for data transformation.

•       Exposure to other BI tools such as Power BI, Qlik, or MicroStrategy.

•       Understanding of Agile/Scrum methodology and working in sprint-based teams.

•       Strong analytical mindset with attention to detail in data accuracy and validation.

•       Excellent communication skills — ability to explain technical concepts to non-technical stakeholders.

•       Self-driven with the ability to manage multiple migration workstreams simultaneously.

•       Problem-solving attitude when encountering gaps between Looker and Tableau capabilities.

•       Collaborative team player who can work across data engineering, analytics, and business teams.