Data Engineer
New
E
EnrouteData Engineering
MexicoFull-Time
Salary not disclosed
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Job Details
- Required Skills
- SQLBusiness IntelligenceETLSnowflakeTableauData modeling
Requirements
- Advanced experience with Tableau, including dashboard and workbook development, calculated fields, parameters, filters, actions, sets, and interactive visualizations.
- Strong experience designing and maintaining Tableau data sources, including relationships, joins, extracts, and live connections.
- Strong understanding of Tableau performance optimization, including dashboard performance, query optimization, extract optimization, and efficient data-source design.
- Experience connecting Tableau to Snowflake and other enterprise data sources.
- Strong proficiency in SQL, including complex queries, CTEs, window functions, joins, aggregations, and query optimization.
- Strong hands-on experience with Snowflake or another cloud data warehouse.
- Strong understanding of data modeling, including fact and dimension tables, dimensional modeling, and analytical data structures.
- Experience developing and maintaining ETL/ELT pipelines and data transformation processes.
- Experience preparing and optimizing analytics-ready datasets for reporting and business intelligence.
- Experience with data profiling, validation, reconciliation, and data quality checks.
Responsibilities
- Develop and maintain Tableau dashboards, reports, workbooks, and data sources for business reporting.
- Create advanced Tableau visualizations using calculated fields, parameters, filters, actions, and sets.
- Design and optimize Tableau data sources, including live connections and extracts.
- Improve dashboard performance, scalability, and user experience through query and visualization optimization.
- Integrate Tableau with Snowflake and other enterprise data sources, resolving connectivity and refresh issues.
- Translate business requirements into KPIs, dashboards, and analytical reporting solutions.
- Develop and optimize SQL queries to support reporting and data transformations.
- Design and maintain data models and analytics-ready datasets for reporting.
- Build and support ETL/ELT pipelines and curated reporting layers.
- Perform data validation, profiling, reconciliation, and quality assurance to ensure reporting accuracy.
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