Data Engineer

 

Description:


Adobe is seeking a Data Engineer who consistently demonstrates talent and motivation to join our exceptional Marketing Operations and Engineering department in San Jose. The Marketing Operations and Engineering team is part of Growth Marketing and Insights (GMI) organization and is responsible for the data architecture, transformation, and engineering needs of the entire organization. This includes managing backend data for various marketing measurement tools and processes, including attribution, product and customer segmentation, lifetime value, and more.

Responsibilities:
 

  • Design, develop, and maintain scalable and reliable data pipelines and infrastructure.
  • Collaborate with teams from different departments to gather and analyze data requirements.
  • Optimize data storage, processing, and retrieval for efficient and flawless operation.
  • Implement data models and schemas to support various data-driven applications.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Perform data analysis and provide insights to drive informed decision-making.
  • Keep yourself informed about the latest developments and effective approaches in data engineering.
     

Requirements:
 

  • Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of data engineering experience.
  • Proven experience in designing and developing data pipelines and ETL processes.
  • Strong programming skills in Python, Java, or Scala.
  • Experience with Spark, Databricks, Airflow and related Big Data technologies
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Knowledge of SQL and database systems.
  • Knowledge of UNIX and shell scripting
  • Strong problem-solving and analytical abilities.
  • Excellent communication and collaboration skills.
  • Experience in marketing domain is a plus

Organization Adobe
Industry IT / Telecom / Software Jobs
Occupational Category Data Engineer
Job Location San Jose,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 3 Years
Posted at 2024-06-29 6:36 pm
Expires on 2025-01-27