Job Title: T&T | EAD | ADMM | Manager | Data Engineering | Bengaluru | Engineering
The team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile
- Precise estimates for tasks in the Jira board.
- Pilot for usage of Machine Learning or LLM in a transformation pipeline
Key skills required:
- Experience in implementing ML and LLM in production data pipelines
- Strong technical skills in Databricks, Python development.
Experience:
- 6-12 years
Experience:
- Any Degree, B.Tech, MCA, M.Tech.
Languages:
- Strong Python.
Role Overview
The Data Scientist plays a key role in Syngenta’s Regulatory Data Hub initiative, supporting the delivery of standardized, trusted, and compliant regulatory data across the organization. This role acts as the key resource to implement data transformation pipelines according to the transformation pipeline architecture, including development of required logic and definition of mapping tables. Additional analytical skills are required for the role to take over the responsibility to define and implement the quality control pipelines for data transformations.
Responsibilities
- Review mapping definition with data analysts
- Contribute with other data scientists on mapping definition for transformation pipelines
- Contribute to mapping function development and unit testing of these functions
- Contribute to mapping configurations
- Define the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations
- Review and maintain the quality control pipelines with the Data Analyst, Data Domain Lead and Data Governance Lead
- Implement or configure the appropriate tools for the approved quality control pipelines
Provide the guidelines for introducing Machine Learning and LLM in the transformation pipelines
- 5+ years of experience in data transformation pipelines or ETL
- Experience in implementing ML and LLM in production data pipelines
- Strong technical skills in Databricks, Python development.
- Strong quality control and analytical skills, experience in SODA is a plus
Location and Way of Working:
- Base location: Pan India