Lead Data & Integration Engineer

encora inc.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Encora is seeking an experienced professional to analyze business and technical requirements and translate them into data flows and integration designs. The role involves coordinating integrations across data platforms and security teams, and delivering reliable data movement pipelines across systems.

You will work with REST APIs, SFTP, batch processing and data orchestration to enable GenAI data preparation and ingestion for AI workflows across environments.

Qualifications

  • 10+ years of experience in system analysis, integration engineering, or related delivery roles.

Responsibilities

  • Analyze business and technical requirements and translate them into data flows and integration designs.

Skills

System analysis
Integration engineering
Data engineering
Technical delivery
REST APIs
SFTP
SQL
Python
Java
Git
CI/CD
Jira
Confluence
Data pipelines
GenAI concepts

Tools

Informatica
Cloudera

Job description

Location: Singapore

Key Responsibilities
  • Analyse business and technical requirements and translate them into data flows and integration designs
  • Work with upstream and downstream teams to define data contracts and interfaces
  • Identify gaps, inefficiencies and risks in current data movement processes
  • Propose pragmatic solutions balancing speed, quality and maintainability
  • Integration & Data Movement
  • Design and implement data movement across systems using APIs, SFTP and file based transfers, and batch pipelines
  • Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)
  • Ensure data is correctly transformed, mapped and delivered to target systems
  • Troubleshoot integration issues across environments
  • Data Preparation for GenAI
  • Support data ingestion and preparation for GenAI use cases including document ingestion, data aggregation, enrichment and transformation
  • Work with structured and unstructured data
  • Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)
  • Delivery & Coordination
  • Work across multiple teams including data platforms, application teams, infrastructure and security
  • Support SIT, UAT and production rollouts
  • Ensure integration reliability, error handling and monitoring
  • Document flows, mappings and interfaces clearly
Key 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 (OTEL) and monitoring tools such as Splunk and 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
Key Domain
  • Data Engineering
  • System Integrations
  • Python
  • SQL

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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