Job DescriptionJob Description
Be Part Of A High-Performing Team:
Join a leading global financial institution recognized for its strong presence in capital markets and commitment to innovation across technology and data. The organization operates in a highly regulated, fast-paced banking environment where data plays a critical role in decision-making, risk management, and client services. Teams are composed of experienced engineers and data professionals working collaboratively to modernize data platforms and drive enterprise-wide transformation initiatives. This role contributes to building scalable, secure, and high-performance data ecosystems supporting critical business functions.
What's In Store For You:
- Engagement: W2 only (no C2C/1099)
- Opportunity to work on enterprise-scale Azure data platforms within a major financial institution
- Exposure to modern cloud technologies and large-scale data transformation initiatives
- Opportunity to contribute to high-impact data modernization projects
How You Will Make An Impact:
- Design and build scalable data pipelines using Azure technologies to support enterprise data initiatives
- Develop and optimize data solutions leveraging Azure Data Factory, Synapse Analytics, and Databricks
- Implement and maintain data lake architectures for structured and unstructured data
- Ensure data security, governance, and compliance across all data platforms
- Collaborate with cross-functional teams including data analysts, architects, and business stakeholders
- Drive performance tuning and optimization of data workflows and processing
Are you an experienced Azure Data Engineering professional ready to make an impact?
- 10+ years of experience in data engineering or related field
- Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Databricks
- Proven expertise building and maintaining large-scale data pipelines and data lakes
- Solid understanding of data security, governance, and compliance in enterprise environments
- Experience working in cloud-based architectures, preferably within financial services or regulated industries
- Strong SQL and data modeling skills
- Familiarity with programming languages such as Python or Scala
- Excellent problem-solving skills and ability to work in a collaborative, fast-paced environment
- Azure certifications are highly preferred