Data Engineer

Cynet Systems•Jersey City, NJ

About The Position

We are seeking a Data Engineer with strong hands-on experience in Snowflake, Python, and Oracle PL/SQL to design, develop, and optimize data solutions. This role involves leading end-to-end project deliverables, managing stakeholder interactions, and driving governance forums. The ideal candidate will have proven delivery experience across Capital Markets corporate functions and a strong understanding of Generative AI concepts.

Requirements

Strong hands-on experience with Snowflake, including data modeling, performance optimization, and cost management.
Advanced proficiency in Python for data processing, automation, and integration.
Solid experience in Oracle PL/SQL, including complex queries, procedures, and performance tuning.
Experience with at least one enterprise reporting or BI tool.
Proven leadership skills with experience leading teams and owning project delivery.
Strong customer interaction and stakeholder management skills.
Experience driving governance forums and executive-level status reviews.
Proven delivery experience across Capital Markets corporate functions, securities, and front-to-back-office.
Strong expertise in Informatica, Snowflake, Python, and Oracle PL/SQL.

Nice To Haves

Exposure to Generative AI, including use cases, tools, or solution implementation.

Responsibilities

Design, develop, and optimize data solutions using Snowflake, Python, and Oracle PL/SQL.
Develop and maintain reports and dashboards using standard BI/reporting tools to support business decision-making.
Lead end-to-end project deliverables, ensuring quality, timeliness, and alignment with customer requirements.
Drive and manage weekly and monthly governance calls, including status reporting, risk management, and stakeholder communication.
Ensure all project tasks and milestones are completed on time with high-quality standards.
Provide technical leadership and mentorship to the team, reviewing designs and code to ensure best practices.
Engage directly with customers to understand business needs, translate them into technical solutions, and manage ongoing interactions.
Collaborate with cross-functional teams to ensure smooth delivery and adoption of solutions.
Apply Generative AI concepts and tools where relevant to enhance data engineering, analytics, automation, and productivity use cases.
Continuously identify opportunities for process improvement, automation, and innovation.