Lead Data Engineer

Job Description

We are seeking an experienced Data Engineer/Lead Data Engineer/Data Engineering Specialist for Oracle + GCP to design, build, and optimize scalable, high-performance data platforms. The ideal candidate will have strong expertise in ETL/ELT frameworks, OIC, and Google Cloud Platform (GCP), and will work closely with business and technical teams to deliver reliable, secure, and analytics-ready data solutions.

A typical day for a Data Engineer involves a mix of technical and collaborative tasks.

The main responsibilities include:

Integration Development:
Designing and building integrations using OIC's visual interface. This involves configuring connections, defining data mappings, and orchestrating complex business processes.
API Management:
Creating, managing, and optimizing APIs (Application Programming Interfaces) to facilitate secure and reliable data exchange.
Troubleshooting and Support:
Monitoring integration performance, identifying and resolving technical issues, and providing ongoing support for deployed integrations to ensure data integrity.

Collaboration:

Working with business analysts and architects to gather requirements, translating them into technical specifications, and collaborating with cross-functional teams to deliver effective solutions.
Documentation:
Maintaining comprehensive documentation of all integration designs, processes, and workflows for future reference and maintenance.
Best Practices:
Adhering to industry standards and best practices for integration development and security.
Implement data validation, data cleansing, and data quality controls to ensure accurate and reliable datasets.

Qualifications

Technical

Skills:

Proven experience with OIC:
Hands-on experience developing integrations is essential.
Strong Data Modeling skills (conceptual, logical, physical)
Proficiency in SQL and Python

Experience with Google Big Query (GBQ) or Oracle 23ai

Experience with Apache Airflow / GCP Cloud Composer / OCP Scheduler
Database skills:
Familiarity with SQL and PL/SQL.
Deployment and testing:

Experience with the full software development lifecycle, including testing and deployment processes.

Qualifications and

Soft Skills:

10-13 years of experience is required.
Proficiency in Oracle Database (SQL, PL/SQL) and related tools (e.g., SQL Developer).
Strong knowledge of at least one of the Oracle ERP module, i.e. Financials, Procurement, Inventory, Order Management.
Knowledge of cloud technologies and Oracle Cloud Infrastructure (OCI) or Oracle Goldengate is a plus.
Strong analytical and problem-solving skills to address complex business and technical challenges.
Excellent communication and interpersonal skills to collaborate with cross-functional teams and stakeholders.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Detail-oriented with a focus on delivering high-quality, error-free solutions.
Problem-Solving:
Strong analytical and problem-solving abilities, with a proactive approach to addressing challenges.
Cultural Awareness:
Ability to work effectively in a multicultural environment and manage teams across different time zones.

Preferred Qualifications:

Oracle certifications, i.e. Oracle Certified Professional (OCP)
Knowledge of Dev Ops practices, including version control (e.g., Git), CI/CD pipelines, and automated testing.
Familiarity with Agile or Scrum project management methodologies.
Familiarity with OpenAI prompt engineering and Machine Learning / LLM concepts
Knowledge of DBT