Be Part of a High-Performing Data & Cloud Engineering Team

This role supports a leading organization in the banking and financial services sector, known for its strong focus on innovation, regulatory compliance, and large-scale digital transformation. The team operates within a modern cloud-forward environment and is responsible for delivering secure, scalable data solutions that power analytics, reporting, and enterprise decision-making. Engineers joining this group work in a collaborative, fast-paced setting where reliability, security, and technical excellence are essential.

What’s In Store for You

• Opportunity to contribute to cloud modernization initiatives using cutting-edge Azure technologies.
• Hybrid work model offering collaboration with highly skilled cloud, data, and security professionals.
• Exposure to enterprise-scale data platforms supporting mission-critical financial operations.

How You Will Make an Impact

• Build and enhance cloud-native data pipelines that support high-volume ingestion and processing needs.
• Develop and maintain Azure-based data lake environments supporting analytics, reporting, and downstream applications.
• Implement security, governance, and compliance practices aligned with strict industry and regulatory standards.
• Work closely with architects, analysts, and engineering teams to deliver reliable and scalable data solutions.
• Troubleshoot performance challenges and optimize pipeline execution and cloud resource utilization.
• Maintain documentation for data flows, architecture, and operational processes.

Are You an Experienced Azure Data Engineering Professional Ready to Make an Impact?

Required Skills & Experience

• 10+ years of hands-on data engineering experience in enterprise environments.
• Strong proficiency with Azure Data Factory, Azure Synapse, and Databricks.
• Expertise building and optimizing data lakes and large-scale ETL/ELT pipelines.
• Solid understanding of data governance, security frameworks, and compliance best practices.
• Experience with Spark-based processing and distributed data frameworks.
• Ability to work in hybrid on-site model in Jersey City as required.
• Excellent analytical, problem-solving, and communication skills.

Preferred

• Microsoft Azure certifications (DP-203, AZ-900).
• Previous experience supporting financial services or other regulated industries.
• Familiarity with CI/CD pipelines or DevOps practices for data engineering.