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Senior Azure Data Engineer

SpringCube

Full time - Manager

IT Services & Consulting

Singapore ( Onsite )

Published 2 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A global technology consultancy specializing in designing, developing, and scaling digital and sustainable products and services.

Senior Azure Data Engineer

YOUR RESPONSIBILITIES:

  • Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
  • Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
  • Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
  • Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
  • Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
  • Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
  • Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
  • Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
  • Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

  • You hold a Bachelor’s, Master’s, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
  • Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
  • Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
  • Experience with batch & ETL jobs to ingest and process data from multiple data sources
  • Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
  • Experience with querying tools (e.g Hive, Spark SQL, Impala)
  • Experience with PowerBI
  • Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
  • Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
  • High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
  • You are passionate about technology and continuous learning comes naturally to you

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.