Mid-level Data Analyst

Minsait

Data Analyst at Minsait focusing on data analysis and pipeline development. Collaborating with tech teams to ensure data quality and governance in strategic decision-making.

Posted 7/21/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines using PySpark, Scala Spark, and Apache NiFi, while ensuring data quality and compliance with LGPD guidelines. Proficient in SQL and HQL for large-scale data manipulation and structuring Data Warehouse, Data Lake, and Lakehouse environments.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL and HQL Query OptimizationData Warehouse and Lakehouse StructuringData Quality Tools ImplementationLGPD Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PySparkScala SparkApache NiFiSQLHQLDimensional ModelingData Quality ToolsJupyter NotebooksDatabricksKafka

Soft Skills

Analytical MindsetCritical ThinkingClear CommunicationBusiness-Oriented Perspective

Industry Keywords

Data GovernanceData ConsistencyData ValidationMedallion ArchitectureReal-Time Processing

Tech Stack

Tools & technologies

ApacheAWSETLKafkaMySQLPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Will take a leading role in preparing, cleaning, sanitizing and organizing data for analytical use.
Will lead the development and maintenance of robust data pipelines using PySpark, Scala Spark and Apache NiFi.
Will ensure consistency, governance and reliability of information through the implementation of validation techniques and data quality tools.
Will work closely with the development team and the Product Owner.

Requirements

What you’ll need

Responsible for developing, optimizing and maintaining complex SQL and HQL queries for extracting, transforming and manipulating large-scale data.
Proficient in structuring Data Warehouse, Data Lake and Lakehouse environments, autonomously applying advanced concepts of dimensional modeling, partitioning and relational organization within the Medallion Architecture.
Ensures consistency, governance and reliability of information through the implementation of validation techniques and data quality tools, also ensuring compliance with LGPD (Brazilian General Data Protection Law) guidelines and principles.
Works on analytical data pipelines using Jupyter Notebooks and the Databricks platform, with familiarity with real-time processing using data streaming tools such as Kafka.
Works closely with the development team and the Product Owner (PO), translating complex business rules and requirements into efficient data structures that directly support strategic decision-making.
Performs corrective and evolutionary maintenance safely, ensuring proper closure and handover of services to technical and business stakeholders.
Requires a strong analytical mindset, sharp critical thinking for evaluating data scenarios, clear communication and a deep business-oriented perspective.

Benefits

Comp & perks

Company-subsidized health plan for the employee.
Option to include dependents in the Health Plan with payroll deduction.
Dental care (optional).
Option to include dependents in Dental Care with payroll deduction.
Meal voucher or Food voucher.
Transportation voucher (optional).
Impact & Care - a Personal Guidance Program offering confidential emotional support and counseling in psychological, legal, financial, social and pet-related areas at no cost for the employee and legal dependents.
Gympass - Wellhub (Access to over 700 gyms across Brazil with plans from R$29.90, deducted via payroll).
Option to include dependents in Gympass - Wellhub (up to 3 dependents - paid via credit card).
Access to Udemy through our intranet.
Partnerships with major consumer brands.
Agreement with SESC for employee and dependents.
Discount agreements with educational institutions (undergraduate and postgraduate) and language/certification schools.
Group life insurance.