Data Engineer

• 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.
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We are seeking an experienced professional with strong expertise in Snowflake, Python, Oracle PL/SQL, and reporting/BI tools to deliver scalable data solutions and lead project execution, with proven delivery experience across Capital Markets corporate functions, securities, and front-to-back-office. Work Location: Jersey City, NJ minimum 3 days per week working from the office., * Technical: Snowflake, Oracle Pl/SQL, DBT, Python, any BI reporting tool

• 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.
• Exposure to Generative AI, including use cases, tools, or solution implementation, is highly desirable.
• This role requires a strong balance of technical depth, leadership capability, and customer-facing skills to successfully deliver high-impact data and analytics solutions.