Senior Data Solutions Analyst

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Senior Data Solutions Analyst responsible for providing data solutions and developing ETL pipelines in a Brazilian energy trading company. Requires strong experience in data modeling and cloud environments.

Posted 7/29/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling, ETL/ELT pipeline development, and data quality management within analytical and corporate environments. Proficient in SQL and familiar with modern data architectures, ensuring robust data solutions and governance.

Highest-signal resume keywords

Data ModelingETL/ELT Pipeline DevelopmentSQLData Quality ManagementCloud Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT DevelopmentSQLDimensional ModelingData Quality HandlingBatch ProcessingStreaming Data ProcessingData WarehouseData LakeData Lakehouse

Soft Skills

CollaborationAnalytical SkillsDocumentation

Tools & Technologies

SQL ServerOraclePostgreSQLMySQLGitAzureAWSGoogle Cloud Platform

Industry Keywords

Data ArchitectureData GovernanceBusiness IntelligenceData Mart

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformMySQLOraclePostgresPythonSQL

About the role

Key responsibilities & impact

Act in the analysis, definition and implementation of data solutions, responsible for conceptual, logical and physical data modeling, ensuring data quality and supporting corporate data architecture.
Senior professional with solid experience in data modeling, SQL, and development of ETL/ELT pipelines, capable of working from requirements gathering through implementation and maintenance of robust solutions for analytical and corporate environments.
Gather, analyze and document business requirements related to data;
Define conceptual, logical and physical data models for analytical and operational environments;
Develop, maintain and optimize data ingestion, transformation and provisioning pipelines;
Implement ETL/ELT processes to integrate multiple data sources;
Ensure data quality, consistency, governance and traceability;
Collaborate with architects, data scientists, data engineers and business stakeholders;
Prepare technical and functional documentation for data flows;
Monitor performance and promote continuous improvements in load and transformation processes;
Support the definition of standards, best practices and the organization’s data architecture.

Requirements

What you’ll need

Minimum of 4 years of experience in systems analysis, data engineering or related areas;
Proven experience in enterprise data modeling projects;
Participation in building and maintaining large-scale data pipelines;
Experience with modern data environments (Data Warehouse, Data Lake and Lakehouse);
Strong knowledge of conceptual, logical and physical data modeling;
Experience with dimensional modeling (Star Schema and Snowflake);
Knowledge of modeling for Data Warehouse, Data Mart and Data Lake;
Advanced experience in SQL;
Familiarity with SQL Server, Oracle, PostgreSQL, MySQL;
Experience developing ETL/ELT pipelines;
Knowledge of batch and streaming data processing;
Implementation of integrations between different data sources, APIs and corporate systems;
Data quality handling, enrichment and transformation;
Knowledge of Git and version control practices;
Python (preferred);
Experience in Cloud environments (Azure, AWS or Google Cloud Platform);
Knowledge of Data Lakehouse architecture;
Concepts of Dimensional Modeling (Data Warehouse and Data Marts);
Integration of analytical solutions and BI platforms.

Benefits

Comp & perks

100% remote. 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score