On behalf of our client, an IT Consulting company that is looking to hire a Data Engineer position with details below

Responsibilities

• Design, develop, and maintain robust ETL processes for data transformation, quality, and reliability.
• Build and manage data platforms based on server clusters such as Hadoop, Spark, and Kafka.
• Utilize major cloud service providers (AWS, GCP, Azure) for data platform management.
• Deliver high-quality, well-tested, reusable, and secure code in compliance
• Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
• Ensure data integrity and availability for various applications and stakeholders.
• Monitor and troubleshoot data pipelines to ensure seamless data flow.
• Continuously improve data engineering processes and practices.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related major.
• Minimum of 2 years of experience as a Data Engineer.
• Proficiency in development languages such as Python, SQL, or other relevant languages.
• Extensive experience in building and managing ETL processes.
• Familiar with ETL tools such as SSIS, Pentaho or Talend
• Experinece in data visualisation such as PowerBI, Locker Studio or Bigquery
• Strong expertise in building data platforms based on server clusters (Hadoop, Spark, Kafka).
• Familiarity with major cloud service providers (AWS, GCP, Azure).
• Ability to deliver high-quality, well-tested, reusable, and secure code.
• Strong technical expertise with various data sources and data types.