jobs in RISKDATA CONSULTING PTE. LTD.

Kerja Sepenuh Masa DATA ENGINEER, Gaji tinggi SGD 7,000 di RISKDATA CONSULTING PTE. LTD. East Region (Singapore) - Maukerja

DATA ENGINEER

RISKDATA CONSULTING PTE. LTD.

Sepenuh Masa

East Region (Singapore)

Kongsi
Simpan

Lokasi Kerja

  • 22 CHANGI BUSINESS PARK CENTRAL 2 East Region (Singapore) Singapore

Penerangan Kerja

Tanggungjawab

Key Responsibilities

  • Design, develop and maintain scalable data pipelines and data ingestion frameworks for large-volume datasets.
  • Develop data transformation and processing applications using Apache Spark, PySpark, Scala and Python.
  • Build and optimize data pipelines using Azure Databricks, Azure Data Factory, AWS EMR and related cloud services.
  • Work with Hadoop, HDFS, Hive, Snowflake, Teradata and Data Lake environments.
  • Develop batch and real-time data processing solutions using Spark Structured Streaming and Kafka.
  • Perform data extraction, transformation and loading across heterogeneous source and target systems.
  • Develop and optimize Spark SQL, HiveQL and SQL queries for performance and cost efficiency.
  • Design data models, partitioning strategies and scalable data storage architectures.
  • Build and manage workflow orchestration using Apache Airflow.
  • Implement CI/CD pipelines and automated testing using tools such as Jenkins, Docker, GitHub Actions and pytest.
  • Troubleshoot data pipeline, performance and production issues and implement sustainable solutions.
  • Collaborate with business stakeholders, architects and technology teams to understand requirements and deliver data engineering solutions.
  • Ensure data quality, reliability, security and operational stability across enterprise data platforms.

Required Skills

  • 6+ years of experience in Data Engineering / Big Data Engineering.
  • Strong hands-on experience with Apache Spark / PySpark.
  • Strong programming skills in Python and/or Scala.
  • Good experience with Hadoop, HDFS and Hive.
  • Experience developing ETL/ELT and data ingestion pipelines.
  • Strong SQL and data processing skills.
  • Experience with Azure Databricks, Azure Data Factory, AWS EMR or equivalent cloud data platforms.
  • Experience with Kafka / real-time streaming is an advantage.
  • Hands-on experience with Airflow and data pipeline orchestration.
  • Experience with Snowflake, Teradata, SQL Server or other enterprise databases.
  • Good understanding of Data Lake, Delta Lake, Data Warehousing and Data Modelling.
  • Experience with Git, CI/CD, Docker and automated testing.

Peringatan Penting

Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.

Lebih Lanjut