Data Analyst – CL3
Reporting to the product owner, the data analyst is responsible for ensuring the technical support, high availability, and data consistency for the Omni application. Omni is Deloitte Global Hosting’s asset inventory data platform – collecting nearly real-time metadata from our cloud platforms (Aws, Azure, GCP and on-premises VMware) and reporting on over 65000 Virtual Machines globally and aiming for 95% accuracy.
This role is for an Individual Contributor for hands on development, in the service of implementing scalable data infrastructure solutions.
Your responsibilities will include having to implement forward-thinking data solutions, in a collaborative team environment. You’ll be challenged to consider future ML and predictive model needs as you collect structured and unstructured cloud and on-premises asset metadata.
Responsibilities
- Identify, clean, and integrate large sets of structured and unstructured datasets from disparate sources for storage in Omni. Consider data collection processes to include information that is relevant for building ML models for future predictive modeling needs.
- Develops and maintains end to end, ETL, data ingestion and pipelines from a variety of Cloud (AWS, Azure and GCP) and on premise (VMware) assets into Omni.
- Communicate effectively between technical and non-technical team members.
- Develops and maintains complete documentation on the system and processes.
- Participate in Scrum ceremonies – standups, sprint planning, iteration planning. Authors Stories and Tasks.
- Participate in code reviews and promotion of code to production.
- Supporting development activities in Dev, Non-Production and Production environments.
- Contribute to a time zone-distributed and cross-cultural team, in a remote friendly environment.
- This opportunity is for a junior data analyst that wants to further their technical skills and contribute to a growing data platform.
Qualifications:
- 1-2 year’s experience with Python, Scaled Agile, Azure Dev Ops, AWS, ETL. Data modeling. SQL and NoSQL (mongo)
- Recent relevant experience working within Cloud based environments (AWS/GCP/Azure) for application delivery.
- Hands on experience with devops in an agile environment.
- Knowledge of data visualization tools such as powerBI.
- Knowledge of Data Lake, Data Lakehouse architectures. Data warehouses.
- Education Degree in Engineering with knowledge on computer science and demonstrated relevant experience with developing data platforms.