Data Scientist: AI & Big Data Cloud Pipelines

UNISONEDGE CONSULTING PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

6 days ago
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Job summary

UNISONEDGE CONSULTING PTE. LTD. seeks a data engineer to design and maintain scalable data pipelines, from ingestion to processing on cloud platforms. You will work with Python, Spark, SQL and modern tools to build robust ETL/ELT solutions for large datasets in a dynamic environment.

The role involves collaboration with data scientists and software engineers to deliver enterprise data solutions, including real-time streaming and AI-enabled data processing, across AWS and Azure ecosystems.

Qualifications

  • Bachelor's or Master's degree in a related field.
  • Strong experience with big data, cloud, and production data pipelines.
  • Excellent programming and SQL skills for enterprise datasets.
  • Experience with cloud-based data engineering and modern data platforms.
  • AI/ML or NLP experience is a plus.

Responsibilities

  • Design, develop and maintain scalable ETL/ELT data pipelines for large datasets.
  • Build high-performance data processing solutions using Python, PySpark and Spark.
  • Create batch and real-time pipelines using Kafka, Kinesis, Spark Streaming and Airflow.
  • Develop data ingestion frameworks across RDBMS, APIs, files and cloud storage.
  • Architect data lakes, warehouses and cloud processing platforms.
  • Collaborate with teams to deliver enterprise data solutions.

Skills

Python
PySpark
Apache Spark
Scala
Kafka
AWS
Azure
SQL
ETL/ELT
Databricks
Hadoop
Docker
Kubernetes
REST APIs
GenAI/NLP

Education

Bachelor's or Master's in Computer Science / IT / related discipline

Tools

Databricks
Snowflake
Hadoop
Kubernetes
OpenShift
Airflow
Terraform

Job description

UNISONEDGE CONSULTING PTE. LTD. seeks a data engineer to design and maintain scalable data pipelines, from ingestion to processing on cloud platforms. You will work with Python, Spark, SQL and modern tools to build robust ETL/ELT solutions for large datasets in a dynamic environment.

The role involves collaboration with data scientists and software engineers to deliver enterprise data solutions, including real-time streaming and AI-enabled data processing, across AWS and Azure ecosystems.

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