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Lead Data & Integration Engineer

12 hours, 4 minutes ago
Singapore
Lead
Implementation Engineer
Customer and Technical Support
CI/CD Confluence Generative AI Git Java JIRA Python REST API SFTP Splunk SQL
Apply Now
Coforge

Coforge

Coforge is a global digital services provider specializing in transforming businesses through technology and industry expertise, powering growth with innovative solutions and platforms.

IT Services
10K-50K
Founded 1992
View All Jobs 86

Description

  • Analyze business and technical requirements and translate them into data flows, integration designs, and implementation plans.
  • Define data contracts and interfaces with upstream and downstream teams.
  • Identify gaps, inefficiencies, and risks in current data movement processes and propose pragmatic solutions.
  • Design and implement data movement across systems using APIs, SFTP, file-based transfers, and batch pipelines.
  • Coordinate integrations within the DataLake ecosystem, including platforms such as Informatica and Cloudera.
  • Ensure data is correctly transformed, mapped, reconciled, and delivered to target systems.
  • Support data ingestion and preparation for GenAI use cases, including document ingestion, aggregation, enrichment, and transformation.
  • Work with structured and unstructured data to make it usable for downstream AI workflows such as RAG, search, and investigation flows.
  • Troubleshoot integration issues across environments and ensure reliability, error handling, and monitoring.
  • Collaborate across data platform, application, infrastructure, and security teams and support SIT, UAT, and production rollouts.
  • Document data flows, mappings, and interfaces clearly.

Requirements

  • 10 years of experience in system analysis, integration engineering, data engineering, or technical delivery roles.
  • Strong ability to translate requirements into system flows, data flows, interface specifications, and implementation plans.
  • Experience working with upstream and downstream teams to define and deliver enterprise integrations.
  • Practical experience with REST APIs, SFTP, batch processing, file-based integration, and data pipeline orchestration.
  • Good understanding of data mapping, transformation, aggregation, reconciliation, and data quality controls.
  • Good SQL skills and basic to moderate Python skills for data handling, scripting, automation, and troubleshooting.
  • Exposure to Java.
  • Exposure to Informatica, Cloudera, or similar enterprise data platforms.
  • Working knowledge of Git, branching, pull requests, code reviews, and controlled release practices.
  • Familiarity with CI/CD, Jira, Confluence, and enterprise deployment processes.
  • Experience with Control-M or equivalent scheduling tools.
  • Familiarity with logging tools such as OTEL and monitoring tools such as Splunk or Elastic Stack.
  • Exposure to GenAI concepts such as document ingestion, RAG, embeddings, and data preparation for AI workflows.
  • Strong communication skills with the ability to challenge weak designs and coordinate across business, application, data, infrastructure, and security teams.

Interested in this position?

Apply directly on the company website

Apply Now

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