Job Closed
This listing is no longer active.
Data Engineer
Location
Panama
Posted
152 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer
Boom Entertainment
• Design, build, and own scalable data pipelines for analytics and reporting. • Integrate datasets from APIs, vendors, and event streams into the data warehouse. • Maintain clear documentation for data models, pipelines, and system architecture. • Write high-quality SQL and optimize database performance across large datasets. • Troubleshoot data issues, including pipeline failures, schema changes, and data-quality gaps. • Define and maintain core business metrics used across analytics, finance, and product. • Analyze user behavior and funnels to support product decisions and growth initiatives. • Handle ad-hoc data requests, analyses, and exploratory investigations.
Job Requirements
- 4+ years of experience in data engineering with large or complex datasets.
- Strong SQL skills and experience with MongoDB or other NoSQL databases.
- Hands-on experience with BigQuery and Google Cloud (GCS, Dataflow, Pub/Sub, etc. a plus).
- Proficiency in Python (or similar languages) for ETL, orchestration, and data processing.
- Experience with data modeling, warehouse design, and scalable data architecture.
- Comfortable in a startup or fast-paced environment.
- Familiarity with B2C or growth metrics (CAC, LTV, cohorts, churn, etc.).
- Interest in sports is a plus, but not required.
Benefits
- We have a culture that values trust over micromanagement.
- Each role has a high level of autonomy.
- We move quickly, experiment often, and learn in real time.
- We proudly offer a transparent, fun, and engaging environment that encourages creativity, curiosity, and growth, while giving you space to do your best work.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer
GFT TechnologiesAs a pioneer for digital transformation GFT develops sustainable solutions across new technologies.
• Progettare e sviluppare pipeline dati complesse e controlli di data quality • Contribuire all'analisi tecnica e funzionale dei progetti • Creare e aggiornare modelli di dati (concettuali, logici, fisici) • Documentare rilasci, installazioni e manutenzioni software • Guidare un team e partecipare a riunioni con il cliente
• Architecting robust data pipelines across on-prem and cloud Oracle ecosystems • Automating ingestion from varied sources including APIs
• Build and maintain Kpler's core datasets (vessels characteristics, companies, geospatial data). • Responsible for creating and maintaining REST APIs, streaming pipelines (Kafka Stream), and Spark batch pipelines. • End-to-end ownership of development tasks, beginning with a thorough understanding of assigned tickets and requirements. • Design and build functionality—including APIs and data processing components—ensuring code is deployed to development environments and reviewed through peer and product testing. • Writing and executing unit, integration, and functional tests aligned with defined test scenarios, while ensuring full compliance through detailed validation. • Monitoring system performance, alerts, and SLOs to ensure optimal functionality and reliability.
Senior Azure/Fabric Data Engineer
SmartbridgeSimplifying business transformation through thought leadership and innovation. Bring your digital agenda to reality.
• Develop, enhance, and maintain ETL pipelines using Azure Data Factory (ADF) • Design and implement data models and data warehousing solutions using Azure Synapse Analytics • Optimize SQL queries and perform performance tuning on large and complex datasets • Work with Azure Data Lake, Azure SQL Database, and other Azure data services to support analytics and reporting needs • Implement data security best practices, including role-based access control (RBAC) and data masking • Collaborate with business analysts and stakeholders to gather requirements and translate them into scalable technical solutions



