Data Engineer

FCamara Consulting & Training

. Design, develop, implement, and maintain data pipelines for extracting, transforming, integrating, and making information available.

Posted 11/5/2026full-timeBelo Horizonte • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining ETL/ELT pipelines using Python and SQL, with a strong focus on data quality, governance, and security in financial environments. Proficient in translating business requirements into technical specifications and collaborating with cross-functional teams to optimize data solutions.

Highest-signal resume keywords

Python DevelopmentAdvanced SQL KnowledgeETL/ELT Pipeline DevelopmentAWS Cloud SolutionsData Lake and Data Warehouse Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLETLELTPandasPySparkData ModelingData ProcessingPipeline OrchestrationData Quality

Soft Skills

CollaborationRequirement GatheringTechnical DocumentationStakeholder CommunicationProblem Solving

Tools & Technologies

AWS GlueAmazon RedshiftAmazon S3REST APIsPower BITableauLookerGit

Industry Keywords

Financial SectorData GovernanceData CatalogData LineageData Quality

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudETLNumpyPandasPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Design, develop, implement, and maintain data pipelines for extracting, transforming, integrating, and making information available.
Develop ETL/ELT processes, ensuring efficiency, scalability, traceability, and data quality.
Integrate relational databases, APIs, and structured and semi-structured files.
Develop scripts and applications in Python and SQL for data extraction, processing, transformation, and manipulation.
Build and optimize data-processing solutions in cloud environments, preferably AWS.
Participate in the definition and evolution of Data Lake, Data Warehouse, and analytics architectures.
Implement pipeline monitoring, observability, and failure handling.
Apply best practices for security, governance, quality, and data protection in the financial environment.
Identify opportunities for automation and continuous improvement.
Gather and analyze requirements directly with business teams.
Translate functional requirements and business needs into technical specifications and data solutions.
Collaborate with development, architecture, infrastructure, security, and analytics teams.
Document solutions, data flows, transformation rules, and integrations.
Support technical and functional analyses to identify inconsistencies and opportunities for data improvement.

Requirements

What you’ll need

Strong experience developing with Python for data processing, manipulation, and integration.
Advanced SQL knowledge, including complex queries, joins, stored procedures, and query optimization.
Experience with Pandas and PySpark.
Experience with REST APIs and JSON, CSV, and Parquet files.
Experience building and maintaining ETL/ELT pipelines.
Knowledge of relational and dimensional data modeling.
Experience with relational databases and analytical storage solutions.
Knowledge of Data Lake and Data Warehouse architectures.
Experience processing large volumes of data.
Knowledge of pipeline orchestration and scheduling.
Familiarity with data quality, cataloging, lineage, and governance.
Experience gathering functional and technical requirements from users and business teams.
Ability to understand business processes and identify data-related needs.
Ability to transform business requirements into structured technical solutions.
Experience documenting requirements, business rules, and integration flows.
Ability to lead technical and functional meetings with stakeholders.
Preferred qualifications: Apache Airflow, PySpark, Python, Pandas, NumPy, advanced SQL, AWS Cloud, AWS Glue, Amazon Redshift, Amazon S3, and dimensional modeling.
Nice to have: experience in the financial sector; Power BI, Tableau, or Looker; Git; Data Quality and Data Catalog.

Benefits

Comp & perks

No additional benefits, perks, or compensation are explicitly provided for this position.