Cargill

Associate Data Engineer

Posted 9 Hours Ago

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Bengaluru, Bengaluru Urban, Karnataka, IND

In-Office

Junior

Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial

Reimagining what's possible for food and agriculture

The Role

The Associate Data Engineer assists in designing, building, and maintaining data systems for analytics and reporting, focusing on data pipelines, infrastructure, and collaboration with stakeholders.

Summary Generated by Built In

Job Purpose and Impact
The Associate Data Engineer job assists with the design, building and maintenance of routine data systems that enable data analysis and reporting. Under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.
Key Accountabilities

DATA & ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud-based technologies, supporting scalable, sustainable and robust designs.
DATA PIPELINES: Collaborates with the development of basic 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: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.
DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.
DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.
STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.
DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.
AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.

Qualifications

Have a Bachelor's degree with 2 years or more of relevant experience.
CLOUD ENVIRONMENTS: Basic familiarity with major cloud platforms (AWS, GCP, Azure) and interest in learning how cloud services support data pipelines and storage.
DATA ARCHITECTURE: Introductory understanding of modern data architectures such as data lakes and lakehouses, with exposure to concepts like ingestion, governance, and basic data modeling.
DATA INGESTION: Hands-on experience or coursework using data ingestion tools (e.g., Kafka, AWS Glue) and awareness of common data storage formats like Parquet or Iceberg.
DATA STREAMING: Foundational understanding of streaming concepts and exposure to tools such as Kafka or Flink.
DATA MODELING: Experience writing SQL and supporting data transformation tasks. Familiarity with modeling concepts (e.g., SCDs, schema evolution) and introductory experience with tools like dbt, Airflow, or AWS Glue.
DATA TRANSFORMATION: Basic experience using Spark or similar frameworks for data processing, with a willingness to learn more advanced topics like performance tuning and debugging.
PROGRAMMING: Proficiency in at least one programming language (typically Python) and ability to write clean, reusable code. Comfortable with SQL basics and working toward stronger query optimization skills.
DEVOPS: General awareness of DevOps practices such as version control (Git) and basic CI/CD concepts. Interest in learning deployment and automation workflows.
DATA GOVERNANCE: Foundational understanding of data quality, security, and privacy principles. Awareness of best practices for handling data responsibly.

Top Skills

Airflow

AWS

Aws Glue

Azure

Dbt

Flink

GCP

Git

Iceberg

Kafka

Parquet

Python

Spark

SQL

What the Team is Saying

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The Company

HQ: Wayzata, MN

155,000 Employees

Year Founded: 1865

What We Do

We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.

Why Work With Us

The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.