Who are we?

At WideOps, our dedicated team of cloud experts is committed to providing solution-driven technology to streamline business efficiency. We leverage our experience as a Google Cloud Premier Partner to offer 360° support for businesses of any scale.

Our Mission

By providing clients with top-tier resources, architecture, and expertise, our team seeks to build meaningful partnerships that ensure client success and growth.

What are we looking for?

1. Technical Expertise

• Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
  services, especially in data-related services like BigQuery, Cloud SQL,
  Dataproc, Pub/Sub, and Dataflow.
• Data Engineering: Strong knowledge of data pipelines, ETL/ELT
  processes, and data integration using GCP tools.
• Database Management: Experience with both relational and
  non-relational databases, including MySQL, PostgreSQL, and NoSQL
  solutions like Firestore or Bigtable.
• Programming Skills: Proficiency in Python, SQL, and possibly other
  languages like Java or Scala, with a focus on data manipulation and
  processing.
• APIs and Integrations: Experience working with Google APIs and
  third-party APIs for data extraction and integration.
• Machine Learning: Familiarity with Google Cloud AI tools, such as
  Vertex AI, and how to integrate machine learning workflows into the data
  architecture.
• Data Governance: Knowledge of data security, privacy, governance, and
  regulatory requirements (GDPR, HIPAA, etc.).

2. Leadership and Management

• Team Management: Ability to lead a team of data engineers, analysts,
  and architects, providing guidance, mentorship, and performance
  management.
• Project Management: Strong skills in managing data projects, ensuring
  timely delivery while meeting client requirements.
• Collaboration: Experience working cross-functionally with stakeholders
  such as solution architects, developers, and business teams to translate
  business needs into data solutions.
• Resource Allocation: Efficiently managing cloud resources to optimize
  cost and performance.

3. Client-Facing Skills

• Consulting: Experience in providing consulting services to clients,
  including understanding their data needs, providing solutions, and
  guiding them through the data modernization process.
• Pre-sales Support: Supporting sales teams in scoping out client
  projects, preparing presentations, and explaining technical aspects of
  data solutions during pre-sales.
• Client Relationship Management: Building and maintaining strong
  relationships with clients to ensure satisfaction and long-term
  partnership.

4. Certifications and Education

● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelor’s or Master’s degree in Computer
Science, Data Science, Engineering, or a related field.

5. Soft Skills

● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.