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Senior Data Analytics Engineer
Prudential Financial
posted 3mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop and maintain scalable data pipelines using Spark, Python, and Scala within Azure Databricks or similar cloud-based environments.
- Collaborate with cross-functional 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 knowledge-sharing environment.
- Communicate effectively with global teams, providing updates, insights, and support as needed.
- Bachelors or masters degree in computer science, Engineering, or a related field.
- 5+ years of hands-on 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 problem-solving skills and a proactive approach to tackling complex data challenges.
- Knowledge of life insurance industry preferred.
Employment Type: Full Time, Permanent
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