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 :Snowflake Data Warehouse

Good to have skills :Python (Programming Language)
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education

Summary:
As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making.



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.
- Facilitate knowledge sharing and best practices within the team and across departments.
- Mentor junior professionals to enhance their skills and understanding of data science methodologies.



Professional Technical Skills::
- Must Have Skills:
- Should be proficient in Snowflake''s AI capabilities, such as Cortex, AISQL, and Semantic Views, to deliver faster, self-service analytics.
- Proficiency in Data Science.
- Strong analytical skills with the ability to interpret complex data.
- Experience with machine learning frameworks and libraries such as TensorFlow or Py Torch.
- Familiarity with programming languages such as Python or R for data analysis.
- Knowledge of data visualization techniques to effectively communicate insights.




Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Science.
- A 15-year full time education is required.

Qualification15 years full time education