Data Engineer
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Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
We are seeking for
Data Engineer
Position Position Details: Job Type: 1 year extendable contract Location: Singapore Timings : 5 Days, Regular working hours
Job Description: 5+ years building and maintaining production data pipelines, with recent hands-on (2+ years) experience supporting GenAI / ML data ingestion setup. Real experience with AWS data services — S3, Lambda, S DynamoDB, RDS, and OpenSearch. You've built and operated data ingestion pipelines that made it to production: extraction from multiple source systems, transformation logic, schema validation, delta detection, and pipeline orchestration. Strong Python. You write clean ETL/ELT code, know your way around pandas, PySpark, and async processing patterns. Hands-on with Amazon Bedrock Knowledge Bases — document ingestion, chunking strategies, embedding pipelines, metadata enrichment, and knowledge base sync orchestration Familiarity with web crawling / scraping pipelines and content synchronisation workflows. Comfortable with data modelling — designing schemas for both relational (RDS/PostgreSQL) and NoSQL (DynamoDB) stores to support AI workloads.
WHAT'S ON OFFER: You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.
To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to
(HIDDEN TEXT)
. Your interest will be treated with strict confidentiality.
CONSULTANT DETAILS: Consultant Name : Uma AvensysConsultingPteLtd
Privacy Statement:
Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.
We are seeking for
Data Engineer
Position Position Details: Job Type: 1 year extendable contract Location: Singapore Timings : 5 Days, Regular working hours
Job Description: 5+ years building and maintaining production data pipelines, with recent hands-on (2+ years) experience supporting GenAI / ML data ingestion setup. Real experience with AWS data services — S3, Lambda, S DynamoDB, RDS, and OpenSearch. You've built and operated data ingestion pipelines that made it to production: extraction from multiple source systems, transformation logic, schema validation, delta detection, and pipeline orchestration. Strong Python. You write clean ETL/ELT code, know your way around pandas, PySpark, and async processing patterns. Hands-on with Amazon Bedrock Knowledge Bases — document ingestion, chunking strategies, embedding pipelines, metadata enrichment, and knowledge base sync orchestration Familiarity with web crawling / scraping pipelines and content synchronisation workflows. Comfortable with data modelling — designing schemas for both relational (RDS/PostgreSQL) and NoSQL (DynamoDB) stores to support AI workloads.
WHAT'S ON OFFER: You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.
To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to
(HIDDEN TEXT)
. Your interest will be treated with strict confidentiality.
CONSULTANT DETAILS: Consultant Name : Uma AvensysConsultingPteLtd
Privacy Statement:
Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.