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Data Integration Engineer + English

RemoteMexico

Buenos Aires, Autonomous City of Buenos Aires, Argentina · Santiago, Santiago Metropolitan Region, Chile · Guaduas, Cundinamarca, Colombia · Mexico City, Mexico City, Mexico · Lima, Lima, Peru · Laguardia, Autonomous Community of the Basque Country, Spain

SQLPostgreSQLAWSGCPTerraform
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About the opportunity

Data Integration Engineer

At Ready, we are looking for a Data Integration Engineer with experience in designing, developing, and operating enterprise data integration solutions using Informatica Intelligent Data Management Cloud (IDMC) as the primary platform. You will be responsible for building, optimizing, and managing data pipelines to feed the Databricks Lakehouse, ensuring scalable, efficient solutions aligned with business needs.

The ideal candidate has experience with ETL/ELT tools, cloud environments (Azure, AWS, and preferably GCP), and AI-assisted development using CLAIRE GPT and CLAIRE Copilot.

Responsibilities

  1. Design, develop, and implement data ingestion, transformation, and distribution pipelines using Cloud Data Integration (CDI) and Cloud Mass Ingestion (CMI).
  1. Build and optimize ETL/ELT processes for the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns.
  1. Migrate processes developed in PowerCenter to Informatica IDMC using structured methodologies and migration accelerators.
  1. Administer and maintain the integration infrastructure (Secure Agents and Runtime Environments), ensuring compliance with established SLAs.
  1. Implement integrations using Cloud Application Integration (CAI) for APIs, business processes, and microservices.
  1. Apply CLAIRE GPT and CLAIRE Copilot to accelerate development, debugging, and automatic documentation of pipelines.
  1. Monitor Informatica Processing Unit (IPU) consumption and propose cost and performance improvements.
  1. Collaborate with multidisciplinary teams to ensure the availability, quality, and scalability of integration solutions.

Technical Knowledge

Informatica IDMC

  1. Cloud Data Integration (CDI).
  1. Mapping Designer.
  1. SQL ELT with Pushdown Optimization.
  1. Taskflows.
  1. Mapping Partitioning.
  1. Dynamic Mappings.
  1. Parameterization.
  1. File Listeners.
  1. Intelligent Structure Models.
  1. Performance Tuning.
  1. Cloud Mass Ingestion (CMI):
  1. Mass Ingestion Databases (CDC).
  1. Files.
  1. Applications.
  1. Streaming.
  1. Cloud Application Integration (CAI).
  1. Administration of Secure Agents and Runtime Environments.
  1. Migration from PowerCenter to IDMC.

Databricks

  1. Integration of IDMC with Databricks Lakehouse.
  1. Delta Lake.
  1. Databricks SQL.
  1. Databricks Connector (Partner Connect).
  1. Knowledge of Unity Catalog.
  1. Orchestration of parameterized processes.

AI-Assisted Development

  1. Experience using CLAIRE GPT and CLAIRE Copilot.

Cloud

  1. Azure
  1. Azure Data Factory (ADF).
  1. Azure Data Lake Storage Gen2.
  1. Azure Key Vault.
  1. Azure Databricks.
  1. AWS
  1. Glue.
  1. S3.
  1. Step Functions.
  1. Redshift.
  1. Athena.
  1. EventBridge.

Infrastructure as Code (IaC) and CI/CD

  1. Terraform.
  1. CloudFormation.
  1. GitHub or Bitbucket.
  1. Jenkins.

Databases

  1. Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, and Databricks SQL).
  1. Knowledge of Data Warehouse, Data Lake, and Lakehouse architectures.

Other Requirements

  1. English B2+ or C1 (essential).
  1. Experience in designing, developing, and operating data integration solutions using Informatica IDMC.
  1. Experience implementing solutions on Databricks.
  1. Experience working in cloud environments (Azure, AWS, and preferably GCP).

Certifications

  1. Informatica Cloud Data Integration Developer Professional Certification (ICP). (Required)
  1. Knowledge of CLAIRE Agents (preferred).
  1. Preferably GCP
  1. BigQuery.
  1. Cloud Composer.
  1. Preferably experience with MongoDB and DynamoDB.
  1. Informatica IDMC Foundation / Data Engineering Foundation. (Preferred)
  1. Informatica Cloud Application Integration Developer Professional Certification. (Preferred)
  1. Databricks Certified Data Engineer Associate. (Preferred)
  1. Microsoft Certified: Azure Data Engineer Associate (DP-203). (Preferred)
  1. AWS Certified Data Engineer or Data Analytics Specialty. (Preferred)

Position Conditions

Hiring Modality: Freelance (Contractor). 100% Remote LATAM

Work Schedule: Full-time, Monday to Friday, from 9:00 a.m. to 6:00 p.m. (Chile Time)

Contract Duration: 12 months with possibility of renewal.

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