Senior Data Analytics Engineer
Senior Data Analytics Engineer
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Job Description
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.
Job Summary:
We are seeking a highly skilled Data Engineer to join our global organization. The ideal candidate will have a minimum of 5 years of experience in data engineering with a strong background in Spark Python Azure Databricks SQL and Scala. The role involves working within a global team leveraging cloud platforms like Azure or GCP and contributing expertise to multiple projects.
Key Responsibilities:
- Develop and maintain scalable data pipelines using Spark Python and Scala within Azure Databricks or similar cloudbased environments.
- Collaborate with crossfunctional teams across the globe to understand data requirements and implement efficient solutions.
- Utilize SQL and other querying languages to manipulate and extract data from various sources ensuring accuracy and efficiency.
- Design build and optimize data models and architectures to support data processing and analytics needs.
- Ensure data quality integrity and security while adhering to best practices and compliance standards.
- Work closely with stakeholders to understand business needs and translate them into technical requirements for data solutions.
- Mentor and guide junior team members fostering a collaborative and knowledgesharing environment.
- Communicate effectively with global teams providing updates insights and support as needed.
Minimum Experience Behaviors and Education Requirements:
- Bachelors or masters degree in computer science Engineering or a related field.
- 5 years of handson experience as a Data Engineer preferably in a global organization.
- Proficiency in Spark Python Azure Databricks SQL and Scala.
- Experience working with cloud platforms such as Azure or GCP leveraging their data services.
- Strong understanding of data modeling ETL processes and data warehousing concepts.
- Ability to work effectively in a global multicultural team environment across different time zones.
- Proven track record of delivering on multiple projects with a focus on scalability reliability and performance.
- Excellent problemsolving skills and a proactive approach to tackling complex data challenges.
- Knowledge of life insurance industry preferred.
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 parttime / fixedterm work or any other status protected by applicable law. We encourage the same standards from our recruitment and thirdparty 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.
Required Experience:
Senior IC
Employment Type
Full-Time
