Data Engineer for Cloud Data Platforms

hace 1 semana


Zapopan, Jalisco, México Oracle A tiempo completo

We are seeking a highly skilled and experienced professional to fill the role of Data Engineer, specializing in cloud data platforms. As part of our Oracle team, you will play a key role in designing, developing, and maintaining scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.

Job Description

The ideal candidate will have a strong technical background, with hands-on experience in big data technologies such as Apache Spark or Flink, and proficiency in programming languages like Python and SQL databases. You will collaborate with cross-functional teams to understand data requirements and deliver innovative solutions for data ingestion, transformation, and storage.

Data Engineering Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Implement and optimize distributed computing frameworks like Apache Hadoop, Spark, or Flink.
  • Collaborate with teams to understand data requirements and deliver solutions for data ingestion, transformation, and storage.
Data Warehousing Responsibilities:
  • Design dimensional data models and database schemas optimized for analytical queries and reporting needs.
  • Develop and maintain ETL workflows to extract, transform, and load data into the data warehouse.
  • Implement and optimize data warehouse architectures and indexing strategies.
Qualifications:

To be successful in this role, you will need:

  • Proficiency in programming languages like Python with experience in SQL databases.
  • Hands-on experience with big data technologies like Apache Spark or Flink.
  • Experience designing and implementing dimensional data models for data warehousing solutions.
Estimated Salary: $120,000 - $180,000 per year

This estimate is based on national averages and may vary depending on location and other factors.


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