San Jose, CA
Skills/Tools: Snowflake, Databricks, Query Optimization, FinOps Tools
Job Description:
Project Role Description: Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills: Databricks Unified Data Analytics Platform
Good to have skills: Cloud Data Architecture, Python (Programming Language), Data Engineering, Cloud data migration, Scala
Minimum 12 year(s) of experience is required
Educational Qualification: BE or MCA
Summary:
As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Contribute to the development of innovative data platform solutions.
- Implement best practices for data platform architecture.
- Lead data platform optimization initiatives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Python (Programming Language), Data Engineering, Cloud Data Architecture.
- Strong understanding of data platform architecture.
- Experience in designing and implementing data pipelines.
- Proficient in data modeling and database design.
- Knowledge of cloud-based data solutions.
Additional Information:
- The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform.
- A BE or MCA is required.
