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ETL Data Engineer – Data Engineering & Technology

SpringCube

Full time - Senior Associate/ Asst Manager

IT Services & Consulting

Singapore ( Onsite )

Published 2 weeks ago

Salary: SGD5,000 - SGD10,000

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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.

ETL Data Engineer – Data Engineering & Technology

Company Overview
This opportunity is with a leading global technology and business transformation firm that partners with organizations to accelerate their digital and sustainable transitions. With a rich 55-year legacy, the company serves clients worldwide, helping them harness the power of technology to solve their business challenges and drive innovation.

Job Description
The ETL Data Engineer will be responsible for designing and implementing robust data architectures, leading ETL processes, and ensuring data quality, accuracy, and integrity. The role involves leveraging Big Data technologies like Apache Spark, Hadoop, and Kafka to process large datasets, creating efficient and scalable data pipelines.

Key Responsibilities

  • Design and implement robust data architectures.
  • Lead ETL processes and ensure data quality, accuracy, and integrity.
  • Develop and maintain automated data pipelines, streamlining data flow across systems.
  • Implement scheduling and monitoring mechanisms to optimize data processing.
  • Ensure compliance with regulatory requirements and collaborate with security teams to maintain privacy standards.
  • Design and implement scalable software architectures to handle increasing user loads.
  • Manage and enhance data warehouse structures, including schema design and indexing strategies.
  • Lead and mentor teams of data engineers in designing, developing, and maintaining large-scale data pipelines.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.

Requirements

  • Proven experience in designing and implementing data architectures and ETL processes.
  • Expertise in Big Data technologies such as Apache Spark, Hadoop, and Kafka.
  • Strong background in creating automated data pipelines and optimizing data flow.
  • Knowledge of data quality standards and data integrity practices.
  • Familiarity with compliance requirements and privacy standards.
  • Excellent leadership and mentoring skills for managing data engineering teams.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  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. Application: 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.