Data Engineer

Bemobi

Data Engineer responsible for managing data infrastructure at Bemobi with innovative solutions for data access and analysis. Join the Data Platform team to enhance data lifecycle processes.

Posted 4/12/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSGrafanaKafka.NETPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Manage infrastructure as code (IaC) with Terraform, provisioning and configuring AWS resources (ECS, EMR, Lambda, Redshift, MSK, S3) and using the team's proprietary Terraform provider
Operate and evolve the Data Lake with Raw, Processed and Refined zones, including deduplication, cataloging and storage optimization (Parquet, Iceberg)
Administer and monitor Kafka clusters — topic creation, connectors, ACLs, credentials and tracking consumer lag for real-time streaming pipelines
Maintain and evolve the Platform API, which exposes Data Loader, File Loader, Static Loader, Data Streaming and Business Metrics features for self-service consumption by other teams
Investigate and resolve pipeline incidents (failed DAGs, dataset desynchronization, data duplication, Redshift/Spark issues), addressing root causes
Participate in modernization initiatives and integration with AI tools (Claude Code, MCP Servers)
Contribute to technical documentation and maintain observability tooling

Requirements

What you’ll need

Solid experience (3+ years) in Data Engineering or related areas
Proficiency in Python for building pipelines, automation scripts and integrations
Hands-on experience with advanced SQL
Knowledge of Apache Airflow
Experience with AWS services: S3, Redshift, EMR (Spark), Lambda, ECS, MSK (Kafka)
Knowledge of Apache Kafka: topics, producers/consumers, connectors (Debezium, S3 Sink)
Experience with Terraform or another Infrastructure as Code tool
Familiarity with Git and CI/CD workflows (Bitbucket Pipelines or similar)
Knowledge of Data Lake architectures
Good communication skills and ability to work autonomously in an agile team
Nice-to-haves:
Experience with Apache Spark (PySpark, SparkSQL)
Knowledge of C# / .NET
Familiarity with Debezium for Change Data Capture (CDC)
Experience with modern table formats (Apache Iceberg, Hudi)
Knowledge of Grafana for monitoring and operational dashboards
Experience with OpsGenie/JSM for incident and alert management
Familiarity with Redshift
Technical English for reading documentation and communicating with LATAM teams

Benefits

Comp & perks

Bradesco National Health Plan — extended to dependents without beneficiary discount
Bradesco Dental Plan — optional
Flexible meal/food allowance (VR/VA) — maintained during vacation
Profit sharing (PLR)
Wellhub
Birthday day off
Home office allowance
Commuter voucher (VT) as needed — legally permitted deductions
Life insurance
Free access to all our products — AppsClub, Discount Club, TrueCaller, BTFit and Busuu
Access to internal training via digital platforms
Internal employee recognition program — Bemobucks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLApache AirflowTerraformApache KafkaApache SparkData Lake architectureChange Data Capturemodern table formatsobservability tooling

Soft Skills

communication skillsautonomous workagile team collaboration