Job Description
Purpose of the role
The Global Knowledge Services (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value statistical work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.
The Data Scientist II in this program area will be responsible for: designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics, data science, and business intelligence across our organization leveraging GCP services. This role requires close collaboration with statisticians, data scientists, and BI developers to ensure timely, reliable, and quality data delivery that drives insights and decision-making.
Specific Job Experience or Skills Needed
- 4 to 6 + years of experience in data engineering roles, including strong hands-on GCP experience
- Proficiency in GCP services like BigQuery, Cloud Storage, Cloud Composer (Airflow), Dataflow, Pub/Sub
- Strong SQL skills and experience working with large-scale data warehouses
- Solid programming skills in Python and/or Java/Scala
- Experience with data modeling, schema design, and performance tuning
- Familiarity with CI/CD, Git, and infrastructure-as-code principles (Terraform preferred)
- Strong communication and collaboration skills across cross-functional teams
For Global Knowledge Services:
- Ability to effectively work cross-functionally with internal/global team members.
- High self-motivation, with the ability to work both independently and in teams.
- Excels at driving projects to completion, with attention to detail.
- Ability to exercise judgment in handling confidential and proprietary information.
- Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
- Demonstrated creative problem-solving abilities, attention to detail, ability to think outside the box.
Request the interested candidates to share your cv on email id: Na**********i@ge*****s.com
Job Classification
Industry: FMCG
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: General Mills
Location(s): Mumbai
Keyskills:
Data Engineering
Gcp Services
Airflow
Bigquery
Data Modeling
Data Warehousing
Performance Tuning
Python
Schematic Design