Cargill
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Bengaluru · On-site · 12+ Yrs · Oct 14
Food & Beverage Manufacturing · 10000+ Employees · Wayzata, US
Cargill is a family company committed to providing food, ingredients, agricultural solutions, and industrial products to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper and consumers to live well. Sustainability is embedded in our purpose. It’s part of everything we do, from renewable fuels to regenerative agriculture. At Cargill, it’s people who really matter. Because we are family-owned, we are driven by what is best for our customers, employees, communities and the planet. It is a long-term view, harnessing 159 years of experience and guiding us to listen, adapt and remain dependable as the world advances. As we envision the future we can create together, we remain committed to the values that have steered us from the start. We put people first. We reach higher. We do the right thing. Every day, we work to be known and trusted as a company that lives those values and makes a real difference in the world—today and for generations to come.
Hiring: Engineering
What employees say
+ Good Learning Steady Pay growth
− Toxic work culture in some teams
More reviews on the company profile.
Interview experience · VESSEL OPERATOR
Interview process was good and streamlined properly. Follow ups were quick and proactive from their end. Overall the whole process was satisfactory and effective. I would recommend this company for all new joiners
Average difficulty · Pune · 91 reports
More interview insightsJob description
Overview
Job Purpose and Impact
Responsibilities
- DATA & ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
- DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
- DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.
- DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.
- DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.
- STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
- DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
- AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
- DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.
- TEAM MANAGEMENT: Manages team members to achieve the organization's goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.
Qualifications
- Minimum requirement of 12 years of relevant
- DATA ENGINEERING: Experience with data engineering on corporate finance data is strongly preferred.
- CLOUD ENVIRONMENTS: Familiarity with major cloud platforms (AWS, GCP, Azure).
- DATA ARCHITECTURE: Experience with modern data architectures, including data lakes, data lakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability.
- DATA INGESTION: Proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet).
- DATA STREAMING: Knowledge of streaming architectures and tools (Kafka, Flink).
- DATA MODELING: Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow). Experience with modeling concepts like SCD and schema evolution.
- DATA TRANSFORMATION: Familiarity with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.
- PROGRAMMING: Proficient with programming in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization.
- DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies.
- DATA GOVERNANCE: Understanding of data governance principles, including data quality, privacy, and security considerations for data product development and consumption
Verify General for this role
Free PRACTICE for General adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify General free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 28 October 2026
- How do I apply for Manager, Data Engineering at Cargill?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cargill may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Manager, Data Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Manager, Data Engineering remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Manager, Data Engineering role at Cargill?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.