Data Engineer III

Grupo Energisa

. Lead the design of scalable, robust, and highly available data architectures .

Posted 11/4/2026full-timeCataguases • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing scalable data architectures and implementing data governance best practices. Proficient in optimizing data pipelines and managing large-scale data storage solutions across various platforms.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingETL Tools KnowledgeData Warehousing ExperienceData Governance Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignData Pipeline OptimizationComplex Query WritingData Model DesignPerformance Bottleneck Mitigation

Soft Skills

Team LeadershipMentoring

Tools & Technologies

Apache SparkKafkaApache AirflowAzure Data FactoryAmazon RedshiftGoogle BigQuerySnowflake

Industry Keywords

Data GovernanceData SecurityRegulatory ComplianceData LineageDisaster Recovery

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAzureBigQueryETLKafkaPythonScalaSnowflakeSparkSQL

About the role

Key responsibilities & impact

Lead the design of scalable, robust, and highly available data architectures
Define and implement large-scale data storage and processing strategies
Optimize data pipelines to handle large volumes of data in real time or in batch
Implement data governance best practices, such as data lineage and versioning
Develop advanced integration solutions across distributed systems and storage platforms
Identify and mitigate performance bottlenecks in ETL/ELT processes and queries
Oversee the implementation of disaster recovery and data backup strategies
Lead teams on critical data projects and mentor less experienced engineers

Requirements

What you’ll need

SQL: Ability to write complex queries, optimize performance, and handle large volumes of data
Programming: Proficiency in Python, R, or Scala for automation and data pipeline development
Experience with databases
Knowledge of ETL tools and techniques
Understanding of data warehousing concepts and experience with Amazon Redshift, Google BigQuery, or Snowflake
Proficiency with data processing tools such as Apache Spark or Kafka
Experience with orchestration tools such as Apache Airflow or Azure Data Factory
Ability to design and implement efficient data models, including database schemas and fact and dimension design
Knowledge of data security and governance practices, including encryption, access control, and regulatory compliance
Ability to diagnose performance issues, troubleshoot, and analyze data to ensure information integrity and accuracy

Benefits

Comp & perks

Meal or food allowance
Health and dental insurance for you and your family
Private pension plan
Childcare assistance
Life insurance
Profit sharing
Quality-of-life programs
Scholarship programs
Gympass membership with access to more than 18,000 gyms in Brazil