Azure Architect(Python)

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

Data Management
Computer Science
Confluence
Data Engineering
Data Integration
Data Lake
Attention to detail
Azure Architect
Azure Data Factory
Azure SQL
Big Data
Software development
capital markets
collaboration
data lakes
data migration
Power BI
Product owner
SSIS
Scrum
Scrum Master
Spark
data modeling
Database management
DevOps
Document data
ETL
Jira
MSSQL
Python
performance
problem - solving
problem - solving skills
root cause analysis
data pipelines
data warehouses
data warehousing
large - scale
machine learning
scalability
transform
Fixed Income

Job Details

Role: Azure Data Engineer

Location: Newark, NJ - Hybrid
Duration: Long term

RTH: Yes

Our Role:

Our Technology Solutions Group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are looking for an astute, determined professional like you to fulfil a Data Engineering role within our Technology Solutions Group. You will showcase your success in an Agile environment through collaboration, ownership, and innovation. Your expertise in emerging trends and practices will evoke stimulating discussions around optimization and change to help keep our competitive edge. This rewarding opportunity will enable you to make a big impact in our organization, so if this sounds exciting, then PGIM might be the place.

Your Impact:

  • Data Management and Storage:
    • Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
    • Ensure scalability, performance, and cost-effectiveness.
  • Data Integration and ETL (Extract, Transform, Load):
    • Develop and implement data integration processes using Azure Data Factory.
    • Extract data from various sources, transform it, and load it into data warehouses or data lakes.
  • Big Data and Analytics:
    • Utilize big data technologies such as Apache Spark.
    • Create data processing workflows and pipelines to support data analytics and machine learning applications.

  • Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
  • Monitor and optimize data pipelines and database performance to ensure data processing efficiency.
  • Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.
  • Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.

Your Required Skills:

  • Bachelor's degree Computer Science or a related field.

5+ years of experience in building data and analytics platform focused on Azure data and analytics solutions.

  • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:
    • Software development and scripting languages
    • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).
    • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
  • 5+ years of programming experience in Python/PySpark.
  • Knowledge of data modeling and data warehousing concepts.
  • Excellent problem-solving and troubleshooting abilities.
  • Attention to detail and commitment to data accuracy.
  • Experience with cloud-based data migration.
  • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.
  • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
  • Knowledge of Jira, Confluence, SAFe development methodology & DevOps

Your Desired Skills:

  • Understanding of capital markets within Fixed Income
  • Microsoft Fabric experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.