Data Platform Engineer

Project Role : Data Platform Engineer

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 : Data Engineering

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education Databricks Certification Must

Summary:

As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration of various systems and data models. The position demands active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer plays a vital role in shaping the infrastructure that supports data flow and accessibility across multiple teams and projects, ensuring that the platform evolves in line with business objectives and technological advancements.

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.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to optimize data platform performance and scalability.
• Facilitate knowledge sharing and mentorship within the team to support professional growth.
• Coordinate cross-functional initiatives to align data platform strategies with organizational goals.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Experience with data pipeline development and management.
• Strong understanding of data storage solutions and cloud-based data platforms.
• Familiarity with data integration techniques and tools.
• Ability to work with large-scale data processing frameworks and optimize workflows.
  
  

Additional Information:

• The candidate should have minimum 8 years of experience in Data Engineering.
• This position is based at our CDC2A - SEZ location.
• A 15 years full time education is required, along with Databricks Certification.