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Elgin

Junior Systems Analyst

Elgin

Junior Systems Analyst at Elgin focusing on data solutions and supporting business teams. Developing pipelines and ensuring data quality standards in AWS environment.

Posted 5/1/2026full-timeSão Paulo • 🇧🇷 BrazilJuniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSETLPythonRPASQL

About the role

Key responsibilities & impact
  • Focus on technical specifications for system solutions related to Data;
  • Support business teams in specifying requirements;
  • Work with IT architecture on functional and adaptive definitions of technological guidelines for the Elgin environment;
  • Develop and maintain data pipelines (ETL/ELT) in an AWS environment;
  • Ingest, transform, and load data from various sources (internal and external);
  • Write and optimize queries using ANSI SQL;
  • Support data modeling (data marts, analytical layers, and dataset structuring);
  • Monitor data routines, ensuring data quality, consistency, and availability;
  • Identify and resolve failures in pipelines and data processes;
  • Collaborate with BI and business teams to understand data requirements;
  • Assist in documenting processes, pipelines, and the data dictionary;
  • Follow data governance, versioning, and information security best practices;
  • Contribute to continuous improvements in data architecture and existing processes.

Requirements

What you’ll need
  • Degree in computer science, engineering, or data-related field;
  • Desirable courses: APIs, Agile methodologies, Quality Assurance, Databases, ANSI SQL, Azure (data), AWS (data), Middleware;
  • Mandatory knowledge of ANSI SQL (joins, subqueries, CTEs, aggregations, basic optimization);
  • Familiarity with data modeling (dimensional and/or relational);
  • Basic knowledge of ETL/ELT processes;
  • Experience or familiarity with cloud environments (preferably AWS);
  • Basic programming knowledge for data using Python; understanding of data quality and governance concepts;
  • Mandatory knowledge of AWS services such as: S3, AWS Glue, Athena, Redshift;
  • Knowledge of orchestration tools; understanding of Data Lake and Data Warehouse concepts;
  • Power BI;
  • Office 365 suite;
  • Productivity and connectivity tools: OneDrive, GIT, Azure DevOps platform (desirable);
  • Basic object-oriented programming concepts;
  • Knowledge of APIs;
  • Understanding of microservices;
  • ETL tools, Python, solid RPA concepts, SQL, Data visualization tools.

Benefits

Comp & perks
  • Comprehensive medical coverage for you and your dependents
  • Optional dental coverage
  • Meal allowance
  • TotalPass
  • Exclusive discounts on Elgin products
  • Life insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ANSI SQLETLELTdata modelingPythonAWSdata qualitydata governanceorchestration toolsdata visualization
Soft Skills
collaborationdocumentationproblem-solvingcontinuous improvement