Data Engineer – Mid-level

🕒 May 22

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Bemobi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

💳 Fintech

🛍️ eCommerce

📚 Education

Fintech • eCommerce • Education

Bemobi is a Brazilian technology company that revolutionizes the future of digital transactions by providing seamless payment solutions tailored to essential service industries. With a focus on enhancing customer experience, Bemobi offers a comprehensive platform for managing payments across various sectors including education, healthcare, finance, and utilities. Their solutions facilitate secure online transactions, optimize payment management, and improve engagement, making them a preferred choice among leading market players in multiple regions.

📋 Description

• Operate and evolve the Data Lake: work with data in its Raw, Processed and Refined zones, including deduplication processes, cataloging and storage optimization (Parquet, Iceberg). • Operate and monitor streaming pipelines via Kafka: create topics, connectors, ACLs, credentials and monitor consumer lag for real-time streaming pipelines. • Contribute to the evolution of the Data Platform API: create and maintain modules of our platform that abstract ingestion processes for users and developers (which may be via files, CDC or data streaming), data processing on Big Data platforms (Spark / Redshift) and pipeline orchestration (Airflow). • Investigate and resolve incidents: interpret failures in pipelines, dataset loads, data duplication and cluster errors, and assist in incident resolution. • Use and contribute to Infrastructure as Code (IaC): use Terraform and operate AWS resources under team guidance. • Participate in modernization and integration initiatives with AI tools: use LLMs to build agents and create tools that integrate AI into our systems (MCP Servers). • Documentation and monitoring maintenance: contribute to technical documentation of our tools and architecture. Maintain our observability tools.

🎯 Requirements

• Solid experience (3+ years) in Data Engineering or related areas. • Proficiency in Python for developing pipelines, automation scripts and integrations. • Basic understanding of software architecture. • Hands-on experience with advanced SQL. • Experience with Apache Airflow. • Experience with AWS services: S3, Redshift, EMR (Spark). • Knowledge of Apache Kafka: topics, producers/consumers, connectors (Debezium, S3 Sink). • Familiarity with Git and CI/CD workflows (Bitbucket Pipelines or similar). • Knowledge of Data Lake architectures (Lakehouse, Medallion Architecture). • Good communication skills and ability to work autonomously within an agile team. • Nice to have / Differentials: • Experience with Apache Spark (PySpark, SparkSQL). • Experience with Terraform or another Infrastructure as Code tool. • Knowledge of C# / .NET. • Familiarity with Debezium for Change Data Capture (CDC). • Experience with modern table formats (Apache Iceberg, Hudi, Delta). • 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

• Bradesco National Network Health Plan - extended to dependents with no per-dependent discount; • Optional Bradesco Dental Plan; • Flexible meal/food allowance (VR/VA) - maintained during vacation; • Profit-sharing (PLR); • Wellhub; • Birthday day off; • Home office allowance; • Commuter allowance (VT) as needed - legal deductions apply; • Life insurance; • Free access to all our products - AppsClub, Discount Club, TrueCaller, BTFit and Busuu; • Access to internal training via digital platforms; • Internal recognition program among employees - Bemobucks.