Analytics Engineer – Data Engineering, Power BI

VALCE Talent Solutions

Analytics Engineer building dbt, Python, SQL, and Power BI solutions for Hexaware. Owning data pipelines, analytics models, reporting, and quality checks end to end.

Posted 8/20/2026full-timeRemote • 🇲🇽 MexicoSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data pipelines using dbt and Python, with strong capabilities in SQL and data modeling for analytics. Proficient in developing Power BI dashboards and reports, ensuring data quality and effective communication with cross-functional teams.

Highest-signal resume keywords

Advanced SQL SkillsPython for Data PipelinesDbt and ELT PracticesPower BI Dashboard DevelopmentData Modeling Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingDAXData AnalysisData Quality ChecksData TransformationDimensional ModelingData ReconciliationDebugging Data Pipelines

Soft Skills

Great CommunicatorAttention to DetailClient FacingTeam CollaborationIndependent Work

Tools & Technologies

DbtAirflowPower BISnowflakeCloud Data Warehouse

Industry Keywords

Data PipelinesAnalytics SolutionsData QualityTransformation WorkflowsAI Tools

Tech Stack

Tools & technologies

AirflowCloudPythonSQL

About the role

Key responsibilities & impact

Build, maintain, and enhance data pipelines and transformation workflows using dbt and Python DAGs in Airflow
Develop clean, reliable, and reusable data models for analytics and reporting
Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations
Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures
Translate business requirements into data models and reporting solutions
Perform data analysis, validation, reconciliation, and data quality checks
Troubleshoot data issues across the pipeline, from source through transformation to reporting
Own assigned tasks and drive them through development, testing, and completion
Collaborate with business, analytics, and engineering teams to deliver production-ready solutions
Understand how to combine AI tools to enhance productivity

Requirements

What you’ll need

Advanced English
Strong SQL and data analysis skills
Strong Python for data pipelines, complex transformations, and integrations
Hands-on experience with dbt and/or modern ELT/data transformation practices
Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets
Experience working with a modern cloud data warehouse, preferably Snowflake
Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations
Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements
Experience debugging and supporting existing data pipelines and analytics solutions
Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision
10+ Years Experience
Great Communicator/Client Facing/Attention to detail
Individual Contributor and ability to work as a team
100% Hands on in the mentioned skills

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account VALCE Talent Solutions Website LinkedIn All Job Openings 11 - 50 employees Founded 2016 🤝 B2B 🎯 Recruiter 💼 Consulting B2B
Recruitment
Consulting VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling. Analytics Engineer – Data Engineering, Power BI Job not on LinkedIn 🔥 2 minutes ago 🇲🇽 Mexico – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 📊 Analytics Engineer 👻 Ghost score 25% 🗣️🇪🇸 Spanish Required Airflow Cloud Python SQL Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Build, maintain, and enhance data pipelines and transformation workflows using dbt and Python DAGs in Airflow
Develop clean, reliable, and reusable data models for analytics and reporting
Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations
Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures
Translate business requirements into data models and reporting solutions
Perform data analysis, validation, reconciliation, and data quality checks
Troubleshoot data issues across the pipeline, from source through transformation to reporting
Own assigned tasks and drive them through development, testing, and completion
Collaborate with business, analytics, and engineering teams to deliver production-ready solutions
Understand how to combine AI tools to enhance productivity 🎯 Requirements
Advanced English
Strong SQL and data analysis skills
Strong Python for data pipelines, complex transformations, and integrations
Hands-on experience with dbt and/or modern ELT/data transformation practices
Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets
Experience working with a modern cloud data warehouse, preferably Snowflake
Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations
Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements
Experience debugging and supporting existing data pipelines and analytics solutions
Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision
10+ Years Experience
Great Communicator/Client Facing/Attention to detail
Individual Contributor and ability to work as a team
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