Senior Data Engineer - Ag & Trading

Posted 4 Days Ago
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Bengaluru, Karnataka
In-Office
Senior level
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Reimagining what's possible for food and agriculture
The Role
The Senior Data Engineer designs, builds, and maintains complex data systems for analysis and reporting with minimal supervision, ensuring accessibility of large datasets.
Summary Generated by Built In
Job Purpose and Impact
  • The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for trading decision making.

Key Accountabilities
  • DATA INFRASTRUCTURE: Prepares data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.
  • DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Develops and maintains 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 identify areas for improvement and optimization.
  • STAKEHOLDER MANAGEMENT: Collaborates with multi-functional data and advanced analytic teams to gain 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 implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.

Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 7 years or more of relevant experience.
  • The candidate will be strong in SQL and Python with Snowflake platform experience. An understanding of KAFKA, DBT, Airflow and Astronomer will be beneficial for future initiatives.

Top Skills

Airflow
Astronomer
Dbt
Kafka
Python
Snowflake
SQL

What the Team is Saying

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Landon
Navita
William Orgertrice
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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.

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Data Engineering
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Atlanta Office
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Our Bengaluru Office
About our Teams

Cargill Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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HQCargill Office Center
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Atlanta, GA
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Bengaluru, Karnataka
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