Senior Data Engineer — Lead Data Pipelines & Analytics

Singapore Telecommunications Limited; Singapore; On-site; SGD 90,000 - 180,000; Full time

Benefits offered by this job

Health and wellness benefits

Training and development programs

Internal mobility opportunities

Job summary

Singtel is expanding its data engineering team to deliver scalable data pipelines and analytics across its telecom platforms. The role focuses on building and improving data pipelines on Hadoop-like platforms, developing data applications for streaming and batch data, and integrating front-end dashboards with back-end services.

The ideal candidate will have a Bachelor's degree in a relevant field and at least 5 years of hands-on development experience with Big Data, Python, PySpark, SQL and

Qualifications

• Bachelor degree in Computer Science, Math, Data Analytics or related field.
• Hands-on development experience with 5+ years in data engineering or related role.
• Experience with Big Data platforms (Hadoop, MapR, Cloudera, etc.).
• Proficient in Python, PySpark, SQL and NoSQL.
• Experience exposing Data APIs and web development.

Responsibilities

• Develop new and improve existing data pipeline on Big Data platform (Hadoop, MapR or equivalent).
• Build and enhance data applications for streaming and batch datasets.
• Work on Apache Airflow for data pipelines; use Python, Spark, PySpark, SQL, etc.

Skills

Big Data

Python

PySpark

SQL

NoSQL

Linux shell scripting

Web development

Education

Bachelor degree in Computer Science, Math, Data Analytics or related field

Tools

Hadoop/MapR/Cloudera

Open Source: Apache Airflow/Zeppelin

Spring Boot / Flask

React / Angular / Django / FastAPI / Springboot

Job description

Singtel is expanding its data engineering team to deliver scalable data pipelines and analytics across its telecom platforms. The role focuses on building and improving data pipelines on Hadoop-like platforms, developing data applications for streaming and batch data, and integrating front-end dashboards with back-end services.

The ideal candidate will have a Bachelor's degree in a relevant field and at least 5 years of hands-on development experience with Big Data, Python, PySpark, SQL and