Data Engineer, Data Engineering, Tableau

🔥 16 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Enroute

Enroute

51 - 200 employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Enroute is a company that delivers exceptional IT services and solutions, staffed by a team of passionate, problem-solving individuals skilled in various IT and business practices. They specialize in data engineering, moving and utilizing data effectively to increase business value, regardless of data sources or types. Enroute also offers software development services, providing analysis and implementing software strategies tailored to long-term organizational needs. Quality engineering is another key offering, with a focus on building quality into processes and software testing from the early stages of development. With a strong emphasis on IT strategy, software and data solutions, Enroute aims to impact organizations and improve user experiences through their tailored services and expert solutions.

📋 Description

• 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 • Investigate and resolve data discrepancies, pipeline issues, and Tableau-related defects • Document data models, business logic, KPIs, pipelines, and reporting definitions • Support testing, deployments, defect resolution, and post-production stabilization • Drive continuous improvements in Tableau performance, data architecture, and reporting processes • Collaborate with Data Engineering, Analytics, QA, Architecture, and business stakeholders to deliver reliable reporting solutions

🎯 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, including troubleshooting connectivity, refresh, and data availability issues • 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 • Ability to troubleshoot data, SQL, pipeline, and Tableau issues and identify root causes • Experience working with large datasets and optimizing data structures and queries for performance and scalability • Ability to translate business requirements into Tableau dashboards, KPIs, reporting solutions, and supporting data models • Strong documentation, communication, and problem-solving skills • Ability to collaborate effectively with Data Engineers, Data Analysts, BI teams, QA, Architecture, and business stakeholders

🏖️ Benefits

• Monetary compensation • Year-end Bonus • IMSS, AFORE, INFONAVIT • Major Medical Expenses Insurance • Life Insurance • Funeral Expenses Coverage • TDU Membership • MediAccess • Health Check-Up Subsidy • Preferential rates for car insurance • Vacations • Official Mexican Holidays • Life Happens Days • Bereavement Leave • Civil Marriage Leave • English Classes • Certifications • Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) • Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) • Taquitos Rewards • Birthday Bonus • Work-from-home Bonus • Laptop Policy

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