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Talent Four Consulting

Developer Analyst, Synapse Analytics – Mid-Level

Talent Four Consulting

. Develop and optimize data solutions in a corporate environment .

Posted 11/4/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in developing and optimizing data solutions, including proficiency in Azure Synapse Analytics, SQL, and ETL workflows. Strong ability to model and manipulate large data volumes while prioritizing Sprint activities in Agile environments.

Highest-signal resume keywords
Azure Synapse AnalyticsSQL Query OptimizationETL WorkflowsData ModelingAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonData ModelingData ProcessingData IngestionParquetPySparkPerformance OptimizationPipeline DevelopmentAgile Sprint Prioritization
Tools & Technologies
Azure Synapse AnalyticsSQL ServerData Factory

Tech Stack

Tools & technologies
AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Develop and optimize data solutions in a corporate environment
  • Build robust pipelines
  • Perform data modeling
  • Optimize performance in analytics environments
  • Develop and optimize SQL queries
  • Work with ETL, data ingestion, and data processing workflows
  • Prioritize Sprint activities in an Agile environment

Requirements

What you’ll need
  • Proficiency in Azure Synapse Analytics
  • Experience with Parquet and SQL Server
  • Experience with modeling and manipulating large volumes of data
  • Knowledge of ETL, data ingestion, and data processing workflows
  • Experience working in Agile environments, with Sprint-based activity prioritization
  • Experience developing and optimizing SQL queries
  • Knowledge of Data Factory, SQL, and PySpark
  • Strong programming skills in Synapse Analytics
  • Experience with Python
  • Knowledge of Agile methodology