Data Analytics Engineer

Join our dynamic team as a Senior Data Analytics Engineer and take your career to new heights! We are expanding our data analytics team and seeking an experienced professional with a proven track record in the field. This role is perfect for a data enthusiast who wants to drive innovation and make a significant impact through data-driven solutions.

Requirements:

• A Master's degree in Computer Science, Data Science, or a closely related field. We will also consider exceptional candidates with a Bachelor's degree and substantial IT experience.
• Extensive experience in a Data Analytics role, with a portfolio demonstrating successful projects and contributions.
• Proficiency in Python, with the ability to write clean, efficient, and well-documented code.
• Strong SQL skills and experience working with relational databases.
• In-depth knowledge of data visualization techniques and dashboard design, with a keen eye for presenting complex data intuitively.
• Experience with version control systems (Git) and project management tools (Jira) is essential.
• Familiarity with Linux system administration and cloud technologies (preferably Oracle Cloud).
• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• A self-starter attitude, capable of working independently and managing multiple tasks effectively.
• A continuous learner who stays updated with the latest trends and technologies in the data analytics domain.

As a Senior Data Analytics Engineer, your responsibilities will include:

• Leading the design and development of sophisticated interactive dashboards using Oracle Analytics Cloud to provide actionable insights for key stakeholders.
• Architecting and optimizing complex data pipelines using Python, ensuring automation, efficiency, and scalability.
• Mentoring and guiding junior team members in best practices for data analytics and visualization.
• Collaborating closely with cross-functional teams to understand their data needs and deliver tailored analytical solutions.
• Managing and prioritizing your projects, ensuring timely deliveries while maintaining high-quality standards.
• Utilizing your expertise in version control systems like Git and Atlassian tools (Jira, Confluence) for efficient collaboration and documentation.
• Implementing and maintaining CI/CD pipelines for data processing, including data structure design and mapping.
• Advancing our machine learning capabilities by developing and deploying ML models for forecasting, prediction, and clustering, or integrating existing models to enhance our analytical offerings.
• Working with diverse datasets, including database upgrade metrics, customer migration logs, and NetSuite product statistics, to derive valuable business insights.
• Contributing to the management and optimization of our infrastructure, including Linux servers, Cloud services (Oracle Cloud), Terraform, Salt, and containers.

Career Level - IC3