Cloud Data Engineer

Role Summary
Join our team as a Cloud Data Engineer, where you’ll play a crucial role in shaping data architecture and engineering strategies in the Information Technology industry. This position is designed for a seasoned professional with 3 to 8 years of experience, who is ready to contribute to innovative projects that leverage cloud technologies. You will work remotely and have the opportunity to lead initiatives that drive the success of our Cloud Data Engineer project, focusing on optimizing data flows and enhancing system performance.

Responsibilities
- Design and implement robust data pipelines to facilitate seamless data integration and processing across various platforms.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions that meet business objectives.
- Utilize cloud services to enhance data storage, processing, and analytics capabilities, ensuring high availability and performance.
- Monitor and troubleshoot data systems, proactively identifying and addressing issues to maintain optimal operation.
- Stay updated with industry trends and emerging technologies to continuously improve data engineering practices and methodologies.
- Mentor junior engineers and promote best practices in data management and engineering within the team.
- Contribute to system documentation and participate in code reviews to ensure high-quality software development standards.

Ways of Working
You will be part of a dynamic team that values collaboration and knowledge sharing. Regular meetings will be held to discuss progress, challenges, and innovative solutions. Expect a culture of openness where ideas are welcomed and teamwork is emphasized.

Collaboration & Communication
You will work closely with data scientists, analysts, and other engineering teams to ensure alignment on project goals and deliverables. Effective communication with stakeholders is essential to clarify requirements and provide updates on project statuses.

Growth Signals
This role offers significant opportunities for professional growth, including the potential for leadership positions as you demonstrate your technical expertise and contribute to strategic initiatives.

Must-Haves

• Salesforce, Python, Data Cloud

Nice-to-Have Skills

• Advanced Analytics, Advanced SQL, Agile Methodology, Apache Airflow, Apache Spark, Azure DevOps, Business Case Development, Business Intelligence, Business Intelligence Tools, Business Process Mapping, CI/CD Pipelines, Change Management, Cloud Architecture, Cloud Cost Management, Collaboration Tools, Data Cataloging, Data Governance, Data Governance Policies, Data Lake Solutions, Data Mesh, Data Mining, Data Profiling, Data Quality Assurance, Data Science Principles, Data Strategy, Data Streaming, Data Visualization, DevOps Practices, Git, Google Cloud Platform (GCP), JIRA, JavaScript, Jupyter Notebooks, Kubernetes, Lean Methodology, Mentoring, Microservices, Microsoft Azure, OKRs, PostgreSQL, PowerShell, Presentation Skills, Python Libraries, R, Requirements Gathering, Salesforce Integration, Scrum, Stakeholder Communication, Stakeholder Engagement, Tableau, Team Collaboration, Terraform, Thought Leadership, Vendor Management

Engagement & Compensation
- Employment Type: Freelance
- Work Mode: Remote
- Location: Remote
- Openings: 2 positions available.
- Experience: 3 to 8 years
- Hourly Rate: $0.0-$0.0 per hour

Additional Comments
We are looking for driven individuals who are passionate about data engineering and eager to make a significant impact in a collaborative environment.