Data Engineer -Snowflake, Python, Oracle PL​/SQL

Key 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.

Required

Skills and Experience:



• 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.