Job Description

As the Senior Applied Data Engineer of the Data Science & Engineering team, you will develop data products and solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge machine learning techniques including deep learning, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses with a keen eye for data privacy. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations/decisions through activities like AI-driven engineering solutions, automated data pipelines, performing jobs in big data cluster by using different execution engines such as Spark, Hive, Impala, etc.

• Experience in building, deploying, and maintaining production-level data- driven application and data processing workflows or pipelines.
• Experience with testing frameworks and test-driven development (TDD) practices.
• Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required.
• Ability to quickly learn and implement new technologies and perform POC to explore best solution for the problem statement.

Qualifications

• Bachelor\'s Degree in Computer Science, Applied Mathematics, Engineering or related field.
• You have at least 4 years of experience, ideally within a Software Engineer, Data Engineer and/or Data Solution role.
• High proficiency in Python, Pyspark and SQL.
• Experience in the cloudnative big data frameworks like Hadoop, Yarn, Spark, Impala, Hive, NiFi, Airflow
• Experience working with engineering best practices like Git, Jira, DevOps
• Solid understanding of data modelling, data monitoring, data dashboarding, database design, and data warehousing concepts.

Rupa Kankariya EA License No. 02C3423 Personnel Registration No. R1441955Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup\'s Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

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