Hire Data Engineers in Latin America
At Inti, our Data Engineering service builds the robust, scalable pipelines and platforms that power all downstream analytics, BI, and machine learning. We ensure your data flows reliably from source to insight.
Why Data Engineering Matters
- Reliable Insights: Prevent data bottlenecks and freshness gaps that undermine reporting.
- Scalable Growth: Handle ever-increasing volumes and varieties of data without rearchitecting.
- Cost Efficiency: Optimize compute and storage to get more value from your cloud spend.
- Trust & Compliance: Enforce data quality, security, and governance from ingestion through delivery.
Core Inputs to The AI Models
Business Knowledge & Rules
- Batch Ingestion: Periodic bulk pulls (e.g., daily database exports).
- Streaming Ingestion: Real-time event capture with Kafka, Kinesis, Pub/Sub
Data Storage & Warehousing
- Data Lakes: Schema-on-read repositories for raw and semi-structured data (e.g., S3, Azure Data Lake).
- Data Warehouses: Schema-on-write analytics stores (e.g., Redshift, BigQuery, Snowflake).
- Operational Stores: Low-latency OLTP/NoSQL systems for applications (e.g., DynamoDB, MongoDB).
Data Processing & Transformation
- ETL/ELT Pipelines: Using Airflow, dbt, or Talend to extract, transform, and load or ELT flows.
- Batch Processing: Large-scale jobs on Spark or Hadoop for complex aggregations.
- Stream Processing: Low-latency transforms with Flink, Spark Streaming, or Apache Beam.
Workflow Orchestration
- Orchestration Engines: Apache Airflow, Prefect, or Luigi to schedule and manage task dependencies.
- DAG Management: Automated retries, backfills, and alerting for resilient pipelines.
Data Quality & Validation
- Automated Checks: Schema validation, null-rate monitoring, and threshold alerts using Great Expectations or Deequ.
- Alerting & Remediation: Proactive notifications and, where feasible, auto-corrections of known issues.
Metadata Management & Cataloging
- Data Catalogs: Discovery platforms like DataHub, Amundsen, or Alation for searchable assets.
- Lineage Tracking: Visual maps of source-to-consumption flows for auditability.
- Business Glossary: Standardized definitions, ownership, and usage notes.
Security, Privacy & Governance
- Access Controls: Role-based permissions, encryption at rest and in transit.
- Masking & Anonymization: GDPR- and HIPAA-compliant de-identification strategies.
- Audit Logging: Immutable trails of who accessed or modified data.
Monitoring, Logging & Observability
- Metrics & Dashboards: Track job runtimes, throughput, and error rates in real time.
- Distributed Tracing: Correlate events across services to troubleshoot failures.
- SLAs & SLOs: Define and enforce data freshness, availability, and latency targets.
API & Data Access Layer
- Query Services: Presto/Trino, Athena for ad-hoc SQL analytics.
- APIs & Microservices: REST or gRPC endpoints for application-level data delivery.
- Data Sharing: Secure cross-team or partner data exchange.
Infrastructure & Scalability
- Cloud vs. On-Premises: Architect on AWS, GCP, Azure, or self-hosted clusters.
- Containers & Orchestration: Docker and Kubernetes for reproducible, scalable environments.
- Cost Optimization: Autoscaling, tiered storage, and spot/preemptible instances.
Frequently Asked Questions
We design with fault tolerance—automated retries, alerting, and rollback strategies—plus 24/7 monitoring dashboards that surface issues the moment they occur.
It varies with scale and complexity, but small-to-medium enterprises often start with a data engineer and a platform architect, scaling up as data volume and use cases grow.
Absolutely. We work with your current ecosystem—whether on-premises or cloud-native—and can extend or refactor pipelines to fit seamlessly.
We implement versioned schemas and automated migration scripts, with unit tests and preview environments, so your production workflows never break.
For a full end-to-end data platform (ingestion through delivery), most engagements run 8–12 weeks. Smaller expansions or optimizations can take 2–6 weeks.
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About
Inti Consulting Services LLC is a company based out of Miami, FL. We aim to provide US companies with advanced talent from Latin America to take advantage of the amazing talent that exists in the region.