Senior Data Engineer: Real-Time Pipelines & AI Solutions

re-zoo-me

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

3 days ago

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Job summary

re-zoo-me in Singapore seeks a senior data engineer to design, develop, and optimize scalable data pipelines leveraging Big Data, cloud, and AI technologies. You will work with architects, data scientists, and engineers to deliver production-ready solutions for complex business use cases.

Responsibilities include building batch and real-time pipelines with Spark/PySpark, SQL, Python; deploying ETL/ELT processes; integrating AWS services; and implementing CI/CD with Docker, Kubernetes, and

Qualifications

Bachelor's or master's degree in a related field and strong data engineering foundation.
8+ years of hands-on data engineering experience with large-scale processing.
Proficient in Python, Java, or Scala and SQL.

Responsibilities

Design and maintain scalable batch and real-time data pipelines.
Build ETL/ELT processes for large datasets.
Create data ingestion solutions from databases, APIs, files, and streams.
Work with AWS services like S3, Glue, EMR, Redshift, and Kinesis.
Develop data processing using Hadoop, Hive, Spark, Kafka, Cloudera, and Databricks.
Tune SQL and Spark workloads for performance.
Design data models, warehouses, and data lakes.
Develop CI/CD pipelines; support Docker, Kubernetes, OpenShift deployments.
Incorporate generative AI, NLP, LLMs, and vector databases as needed.
Collaborate with architects, data scientists, and stakeholders to deliver production‑ready solutions.
Participate in design, development, testing, deployment, and production support.