Cloud Data Engineer - Azure & Snowflake Pipelines

Coca Cola Southwest Beverages

Dallas (TX)

On-site

USD 120,000 - 160,000

Full time

8 days ago
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Job summary

Coca-Cola Southwest Beverages LLC is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Azure and Snowflake. The role supports Advanced Analytics with reliable, high-quality data for analytics, reporting, and ML initiatives.

You'll optimize data workflows, implement governance, and collaborate with data scientists and business teams to deliver reusable data assets and APIs.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • Advanced degree is a plus.
  • Strong experience with Azure services, including Azure Data Factory, Azure Databricks, and Azure SQL.
  • Familiarity with Snowflake for data warehousing and performance tuning.
  • Expertise in SQL and programming languages like Python, Scala, or Java.
  • Knowledge of ETL/ELT, data modeling, and best practices for data pipelines.
  • Familiarity with CI/CD, Infra as Code (Terraform, ARM templates), and DevOps.
  • Understanding of data governance, security principles, and compliance.

Responsibilities

  • Design, develop, and maintain scalable data pipelines for Advanced Analytics initiatives.
  • Build and optimize ETL/ELT processes using Azure Data Factory, Databricks, and Snowflake.
  • Develop batch and real-time pipelines for reporting and AI/ML apps.
  • Ensure data quality, governance, and metadata/documentation integrity.
  • Collaborate with data scientists and business stakeholders to deliver scalable data solutions.

Skills

SQL
Python/PySpark
ETL/ELT
Azure
Data modeling
Spark
CI/CD
DevOps practices
Data governance
Travel 30%

Education

Bachelor's degree in Computer Science or related field
Advanced degree is a plus

Tools

Azure Data Factory
Azure Databricks
Snowflake
SQL Server
PostgreSQL
Python

Job description

Coca-Cola Southwest Beverages LLC is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Azure and Snowflake. The role supports Advanced Analytics with reliable, high-quality data for analytics, reporting, and ML initiatives.

You'll optimize data workflows, implement governance, and collaborate with data scientists and business teams to deliver reusable data assets and APIs.

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