Senior Data Engineer ‎- Atlanta GA

• 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.

• CLOUD ENVIRONMENTS: Experience developing data systems on major cloud platforms (AWS GCP Azure).
• DATA ARCHITECTURE: Hands-on experience building modern data architectures including data lakes data lakehouses and data hubs along with related capabilities such as ingestion governance modeling and observability.
• DATA INGESTION: Demonstrated proficiency in data collection ingestion tools (Kafka AWS Glue) and storage formats (Iceberg Parquet).
• DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka Flink).
• DATA MODELING: Expertise in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt AWS Glue Airflow). Deep experience with modeling concepts like SCD and schema evolution.
• DATA TRANSFORMATION: Strong background with using Spark for data transformation including streaming performance tuning and debugging with Spark UI.
• PROGRAMMING: Advanced programming skills 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: Strong background in data governance principles including data quality privacy and security considerations for data product development and consumption.

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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