Senior Analyst, Forecasting

Doordash; Naucalpan de Juárez; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

NTT DATA seeks a Software Development Senior Analyst to design, build, and operate enterprise data pipelines using IDMC and CDI. You will work across cloud environments (AWS, Azure, GCP), modernizing on-prem pipelines, and optimizing data workflows with CLAIRE AI copilots.

The role requires hands-on experience with data integration, cloud services, and scalable architecture. Join a global technology leader delivering data-driven solutions.

Formación

• Experience designing and operating enterprise data pipelines with IDMC and CDI.
• Strong understanding of cloud data integration across AWS, Azure, and GCP.

Responsabilidades

• Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
• Develop data pipelines on AWS Glue, S3, Step Functions, Athena to extract data.
• Provide incident support for data pipelines and data publishing, ensuring service quality.

Conocimientos

Informatica IDMC

Cloud Data Integration

Cloud Mass Ingestion

Cloud Application Integration

Migration to IDMC

Platform operations

CLAIRE AI/ Copilot

CLAIRE Agents

IPU FinOps

Cloud-Agnostic (AWS/Azure)

IaC & CI/CD

Databases & Platforms

Data Warehouse / Lakehouse

Herramientas

AWS Glue

S3

Step Functions

Athena

Azure Data Factory

Terraform

CloudFormation

GitHub

Jenkins

Descripción del empleo

Req ID:
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Software Development Senior Analyst to join our team in CDMX, Jalisco (MX-JAL), Mexico (MX).

ROLE SUMMARY

Data integration engineer specialized in designing, developing, and operating enterprise data pipelines on ETL tools; Informatica IDMC (Intelligent Data Management Cloud / IICS) as the primary platform. Able to work across cloud-agnostic environments (Azure, AWS, GCP)

REQUIRED TECHNICAL SKILLS

• 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.
• 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: AWS: Glue, S3, Step Functions, Athena (core to the role). Azure: Azure Data Factory (ADF).
• 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.

CERTIFICATIONS

• Informatica Cloud Data Integration Developer, Professional Certification (ICP) (core to the role).
• Informatica IDMC Foundation / Data Engineering Foundation.
• Informatica Cloud Application Integration Developer, Professional Certification (desirable).
• Databricks Certified Data Engineer Associate (desirable).
• Microsoft Certified: Azure Data Engineer Associate (DP-203) (complementary).
• AWS Certified Data Engineer / Data Analytics Specialty (complementary).

KEY RESPONSIBILITIES

• Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
• Development of data pipelines using the following AWS cloud services: AWS Glue, S3, Step Functions, Athena to extract data.
• Provide support to incidents related to data pipelines and data publishing, ensuring the quality of the services provided for data users.
• Supporting infrastructure: EC2 Linux and windows machines, S3 buckets, SNS, EventBridge.
• 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.
• Monitor IPU consumption and propose cost and performance optimizations.

ABOUT NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.

NTT DATA endeavors to make accessible to any and all users. For accommodation requests only: contact us at _***_._**_. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For Pay Transparency information, please click here.