Data Engineer
Data Engineer
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8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Requirements
We are seeking a highly skilled Data Engineer to join our data engineering team at Prudential PGIM. The successful candidate will play a critical role in building optimizing and maintaining scalable and reliable data pipelines to support enterprise-level data analytics and business intelligence initiatives.
Key Responsibilities:
Develop test and maintain robust data pipelines using Python and PySpark.
Leverage Microsoft Fabric tools and services to manage data integration ingestion and transformation processes.
Ensure high-quality data delivery by implementing rigorous data validation and cleansing routines.
Automate workflows to streamline data processing and reduce manual intervention.
Collaborate with data analysts data scientists and business stakeholders to understand data needs and deliver scalable solutions.
Monitor troubleshoot and optimize pipeline performance and reliability.
Document processes data flows and best practices to ensure maintainability and compliance.
Participate in Agile/Scrum ceremonies and contribute to sprint planning and retrospectives.
Required Skills & Qualifications:
Preferred Qualifications:
Experience with Azure Data Services Databricks or other cloud platforms.
Familiarity with Git CI/CD pipelines and DevOps practices in data engineering.
Background in financial services or investment management is a strong plus.
Knowledge of data governance and compliance standards.
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication and interpersonal skills.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Collaborative team player with a proactive attitude.
Benefits
Education
B.E/
Employment Type
Full Time
