PLUK Data Engineer

Posted Yesterday
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Hiring Remotely in Metro Manila, PHL
Remote
Entry level
Financial Services
The Role
Designs, builds, and maintains data infrastructure supporting analytics and machine learning. Responsibilities include developing scalable data pipelines, data warehouses, data lakes, ETL processes, analytics tools, and workflow automation. The role also ensures data quality and security, supports stakeholders with technical data issues, and maintains compliance with company standards.
Summary Generated by Built In

Prudential’s 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 people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Responsible for managing, designing, building, and maintaining the data infrastructure that supports the organization's data analytics and machine learning initiatives. This includes developing and managing data pipelines, building and optimizing data warehouses and data lakes, and ensuring the quality and security of data.


Job Accountabilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS ‘big data’ technologies, etc
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with various stakeholders e.g., Business partners, Data and Design teams, etc. to assist with data-related technical issues and support their data infrastructure needs
  • Ensure that all company policies, procedures, programs and instruction are carried out
  • Be familiar and understand Pru Life UK Compliance Standards. Must be fully aware of his/her responsibilities and competent to carry them out to the required standards. Must report all compliance matters openly and honestly to their Compliance Officer in accordance with the reporting requirements operated by the Compliance Officer. Must operate a process within his/her department to ensure that all relevant compliance matters are identified and reported
  • undefined
  • Perform other functions as may be assigned

Job Qualifications

  • Bachelor’s degree in Engineering, IT, Computer Science, or other equivalent courses 
  • Experience with big data tools: Hadoop, Spark, Kafka, etc. 
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. 
  • Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory etc
  • Experience with Azure cloud services
  • Experience with stream-processing systems: Qlik Replicate, FiveTran
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

 

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.

Skills Required

  • Bachelor's degree in Engineering, Information Technology, Computer Science, or an equivalent course
  • Experience with big data tools such as Hadoop, Spark, and Kafka
  • Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra
  • Experience with data pipeline and workflow management tools such as Qlik Replicate, Fivetran, and Azure Data Factory
  • Experience with Azure cloud services
  • Experience with stream-processing systems such as Qlik Replicate and Fivetran
  • Experience with object-oriented or object-functional scripting languages such as Python, Java, C++, and Scala
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The Company
HQ: London
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region. Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets. We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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