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Data Engineer

Keywords / Skills : Python, Data Visualization, QlikView, ETL, Mysql, Amazon Web Services, AZURE, data engineer, Database Administrator, Data base administration, Data Analytics, Market Research, Modeling, Data Mining, Data Warehouse

3 - 10 years
Posted: 2019-08-31

Job Description
The Offer
  • Excellent career development opportunities
  • Work within a leading employer in the Media & Entertainment industry

The Employer
Our client is Asia’s leading media organisation, engaging minds and enriching lives across multiple languages and platforms.The company's core business is publishing of newspapers, magazines and books in both print and digital editions. It also owns other digital products, online classifieds, radio stations and outdoor media.


The Job
In this role, you will ensure proper data governance and quality across the Data and Analytics department and the business as a whole. Your responsibilities include, but are not limited to:

  • Maintaining, improving, cleaning, and manipulation of data in the business’s operational and analytic databases.
  • Working with Software Engineers, Data Analytics team, Data Scientists, and Data Warehouse Engineers to implement database requirements, analyze performance, and troubleshoot any existent issues.
  • Being an expert in SQL development to provide further support to the Data and Analytics in database design, data flow and analysis activities.
  • Being a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.
  • Defining and building the data pipelines that will enable faster, better, data-informed decision-making within the business.
  • Creating databases optimized for performance, implementing schema changes, and maintaining data architecture standards
  • Leading innovations to implement big data technologies for platforms
  • Designing and developing scalable ETL packages and routines to populate databases from sources and create aggregates.
  • Overseeing large-scale data Hadoop platforms and support the fast-growing data within the business.
  • Performing tests and validations to support the accuracy of data transformations and data verification used in machine learning models.
  • Preparing and presenting activity and progress reports to Senior Data Engineers.
The Profile
  • You possess a bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
  • You have at least 3 years of working experience as a database engineering support personnel or a database engineering administrator within a fast-paced a complex business setting.
  • You must have experience working with MySQL databases and Redshift, strong knowledge of AWS, Redshift, Data Lakes, Snowflake, ETL.
  • You keep up with industry trends and best practices to advise senior management on new and improved data engineering strategies that lead to an overall improvement in business performance.


About Company

Snaphunt is a predictive hiring platform that finds and matches talent to jobs for a skill and personality fit. We help people find jobs they love and companies hire employees who stay longer
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