Lead Data & Integration Engineer
Important Information
Location: Singapore
Key Responsibilities
1. System Analysis & Design
- Analyse business/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
- 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:
- 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)
You are not asking them to build models, just make data usable for them.
- Delivery & Coordination
- Work across multiple teams:
- data platforms
- application teams
- infrastructure
- security
- Support SIT, UAT and production rollouts
- Ensure integration reliability, error handling and monitoring
- Document flows, mappings and interfaces clearly
Key Requirements
Below are the key skillsets that will be required for all relevant tasks mentioned:
- 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 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
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
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
Skills Required
- 10 years of experience in system analysis, integration engineering, data engineering or technical delivery roles.
- 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 (OpenTelemetry) and monitoring tools such as Splunk Elastic Stack.
- Exposure to GenAI concepts such as document ingestion, RAG, embeddings and data preparation for AI workflows.
- Strong communication skills and ability to challenge designs and coordinate across business, application, data, infrastructure and security teams.
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
