Senior Data Engineer at FPT Asia Pacific Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Scala, ETL, ELT, Apache Airflow, AWS Glue, dbt, Snowflake, Redshift, BigQuery, Databricks, Hadoop, Spark, Data Governance

Industry

IT Services and IT Consulting

Description

Job Description As a Senior Data Engineer, you are responsible for designing, building, and maintaining the data infrastructure that enables efficient data collection, transformation, storage, and access across systems. The role ensures that data pipelines are scalable, secure, and optimized to support analytics, machine learning, and business intelligence use cases. The Data Engineer collaborates closely with data scientists, analysts, software engineers, and architects to deliver reliable and high-quality data solutions. What you will do: Design and implement scalable data pipelines to ingest, transform, and deliver data across platforms Build and maintain data lakes, data warehouses, and analytical data stores Ensure data quality, security, and consistency through validation, monitoring, and automated checks Collaborate with data scientists and analysts to make data accessible and analysis-ready Optimize data workflows for performance, reliability, and cost-efficiency Implement data governance practices such as metadata management, cataloging, and lineage tracking Troubleshoot data pipeline issues and perform root cause analysis Document data flows, data definitions, and engineering processes Qualifications The ideal candidate should possess: 5–7 years of hands-on experience as a Data Engineer, delivering production-grade data solutions. Proficient in data pipeline development using Python, SQL, or Scala Experience with ETL/ELT frameworks and orchestration tools (e.g., Apache Airflow, AWS Glue, dbt) Familiarity with data warehousing and big data technologies (e.g., Snowflake, Redshift, BigQuery, Databricks, Hadoop, Spark) Strong understanding of data modelling, partitioning, indexing, and schema design Knowledge of cloud platforms (AWS, Azure, GCP) and their native data services Experience with batch and real-time data streaming (e.g., Kafka, Kinesis) Proficiency in data governance, data quality, and data lineage practices Familiarity with DevOps, CI/CD, version control, and infrastructure as code (e.g., Terraform)

Responsibilities

The Senior Data Engineer is responsible for designing, building, and maintaining data infrastructure to support efficient data collection and access. This includes ensuring data pipelines are scalable, secure, and optimized for analytics and business intelligence.