Data Engineer (AI Lab) (2-Year Contract)

Prudentials purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured for our people customers and partners. We provide a platform for our people to do their best work and make an impact to the business and we support our peoples career ambitions. We pledge to make Prudential a place where you can Connect Grow and Succeed.

The Data Engineer as part of the Corporate AI Lab and Incubator will support the development and maintenance of the global AI sandbox development of cutting-edge AI solutions R&D and provide technical guidance and support in the data domain to the teams under incubation that develop AI Products.

The role requires a strong technical background in Data Engineering AI and modern Cloud infrastructure excellent technical skills and the ability to collaborate with both internal and external stakeholders across technology AI and business to deliver impactful AI products. The Data Engineer will work on the delivery of high-quality data infrastructure continuous improvement and experimentation and development of the companys data expertise.

Job Description

In this role you will be an active member of the Prudential AI Lab playing the role of Data Engineer at Prudential Singapore to support the implementation of solutions built in AI labs:

• Build data pipelines to bring in wide variety of data from multiple sources within the organization as well as from relevant 3rd party sources.

• Collaborate with cross functional teams to source data and make it available for downstream consumption.

• Work with the team to provide an effective solution design to meet business needs.

• Ensure regular communication with key stakeholders understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.

• Ensure timelines (milestones decisions and delivery) are managed and value of initiative is achieved without compromising quality and within budget.

• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery both internal and external.

Who we are looking for:

Competencies & Personal Traits

• Work as a team player

• Strong technical background in data AI and modern cloud infrastructure. Excellent programming skills in languages such as Python SQL.

• Experience with Cloud Infra providers like Azure data bricks Google cloud platform or AWS

• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL Dataset / Dataframe API) or Hive query language (HQL)

• Knowledge of Big data ETL processing tools

• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)

• Basic knowledge of scripting (shell / bash)

• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza) NoSQL / document databases flat files

• Basic understanding of CI CD tools such as Jenkins JIRA Bitbucket Artifactory Bamboo and Azure Dev-ops.

• Basic understanding of DevOps practices using Git version control

• Ability to debug fine tune and optimize large scale data processing jobs

Work Experience

• 5-8 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications

• Certifications related to Data and Analytics would be an added advantage

Education

• Master/bachelors degree in STEM (Science Technology Engineering Mathematics)

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex race age ethnic origin educational social and cultural background marital status pregnancy and maternity religion or belief disability or part-time / fixed-term work or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.