NTT DATA

NTT DATA

Senior Integrations Engineer

FRRemotePosted Today
Full TimeSeniorRemoteFR

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Job Description

Job Title: Senior Integrations EngineerLocation Preference: 100% remote in LATAM with preference in Chile working EST Time Zone Duration: 1-Year Assignment with possibility of extensionNTT DATA is a t

Key Highlights

  • Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
  • Build and optimize ingestion and ELT into the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns.
  • Migrate PowerCenter workloads to IDMC using structured methodology and internal accelerators.
  • Operate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards.
  • Apply CLAIRE GPT/Copilot to optimize the mapping development cycle and reduce delivery time.

Qualifications

Required Qualifications

  • Informatica IDMC · Integration Core Cloud Data Integration (CDI): Mapping Designer, SQL ELT with pushdown optimization (full/source/target), Taskflows, mapping partitioning, Dynamic Mappings, parameterization, file listeners, intelligent structure models (CLAIRE-powered), and performance tuning. Cloud Mass Ingestion (CMI): batch and near-real-time ingestion from heterogeneous sources across its variants: Mass Ingestion Databases (CDC), Files, Applications, and Streaming. Cloud Application Integration (CAI): Process Designer, service connectors, guides, and business processes; API and microservices integration. PowerCenter to IDMC: migration and modernization of on-premises pipelines using structured methodology, CDI-PC, and migration accelerators. Platform operations: administration of Secure Agents and runtime environments (Secure Agent Groups), monitoring, and SLA management. Databricks Integration IDMC for Databricks: ingestion and ELT into the Databricks Lakehouse with CDI and Cloud Mass Ingestion, Delta Lake load patterns, and SQL ELT pushdown to Databricks SQL. Connectivity through the Databricks connector (Partner Connect), Unity Catalog awareness, and parameterized job orchestration. AI-Assisted Development (CLAIRE) CLAIRE GPT / CLAIRE Copilot: assisted generation of mappings, debugging of transformations, and automatic pipeline documentation through natural language within IDMC. Awareness of the new agentic capabilities (CLAIRE Agents, Fall 2025 release) for headless ingestion and transformation flows. Platform FinOps Understanding of the IPU (Informatica Processing Units) consumption model and per-service cost optimization. Cloud-Agnostic (Complementary) Azure: Azure Data Factory (ADF), Data Lake Storage Gen2, Key Vault, Azure Databricks. AWS: Glue, S3, Step Functions, Redshift, Athena, EventBridge. GCP (desirable): BigQuery, Cloud Composer. IaC & CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins. Databases & Platforms Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL). NoSQL (MongoDB, DynamoDB; desirable). Data Warehouse, Data Lake, and Lakehouse architecture patterns.
  • Cloud Data Integration (CDI): Mapping Designer, SQL ELT with pushdown optimization (full/source/target), Taskflows, mapping partitioning, Dynamic Mappings, parameterization, file listeners, intelligent structure models (CLAIRE-powered), and performance tuning.
  • Cloud Mass Ingestion (CMI): batch and near-real-time ingestion from heterogeneous sources across its variants: Mass Ingestion Databases (CDC), Files, Applications, and Streaming.
  • Cloud Application Integration (CAI): Process Designer, service connectors, guides, and business processes; API and microservices integration.
  • PowerCenter to IDMC: migration and modernization of on-premises pipelines using structured methodology, CDI-PC, and migration accelerators.
  • Platform operations: administration of Secure Agents and runtime environments (Secure Agent Groups), monitoring, and SLA management.
  • IDMC for Databricks: ingestion and ELT into the Databricks Lakehouse with CDI and Cloud Mass Ingestion, Delta Lake load patterns, and SQL ELT pushdown to Databricks SQL.
  • Connectivity through the Databricks connector (Partner Connect), Unity Catalog awareness, and parameterized job orchestration.
  • CLAIRE GPT / CLAIRE Copilot: assisted generation of mappings, debugging of transformations, and automatic pipeline documentation through natural language within IDMC.
  • Awareness of the new agentic capabilities (CLAIRE Agents, Fall 2025 release) for headless ingestion and transformation flows.
  • Understanding of the IPU (Informatica Processing Units) consumption model and per-service cost optimization.
  • Azure: Azure Data Factory (ADF), Data Lake Storage Gen2, Key Vault, Azure Databricks.
  • AWS: Glue, S3, Step Functions, Redshift, Athena, EventBridge.
  • GCP (desirable): BigQuery, Cloud Composer.
  • IaC & CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins.
  • Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL).
  • NoSQL (MongoDB, DynamoDB; desirable).
  • Data Warehouse, Data Lake, and Lakehouse architecture patterns.

Skills & Technologies

AzureAWSGCPSQLCI/CDTerraformJenkinsPostgreSQLNoSQLMongoDBDynamoDB

About the Company

NTT DATA

NTT DATA

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

FR

Work Mode

Remote

Posted

Today

Country

FR