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Leading Data Architect

hace 3 semanas

Zapopan, Jalisco, México Oracle A tiempo completo

About the Role:

As a Principal Data Engineer at Oracle, you will play a key part in designing and implementing scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.

Data Engineering Expertise:

  • Design and develop robust data pipelines and ETL workflows to extract, transform, and load data from source systems into the data warehouse.
  • Implement and optimize distributed computing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink to handle big data processing tasks efficiently.
  • Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions for data ingestion, transformation, and storage.
  • Monitor and troubleshoot data pipeline performance issues, implementing solutions to improve reliability and efficiency.

Data Warehousing Specialist:

  • Design dimensional data models and database schemas optimized for analytical queries and reporting needs.
  • Develop and maintain ETL workflows to ensure data quality and consistency.
  • Implement and optimize data warehouse architectures and indexing strategies for efficient data storage and retrieval.
  • Collaborate with business analysts and stakeholders to understand reporting and analytics requirements and translate them into technical solutions.

Technical Requirements:

  • Proficiency in programming languages such as Python with experience in SQL databases.
  • Hands-on experience with big data technologies such as Apache Spark, or Apache Flink, and familiarity with related ecosystem tools.
  • Experience designing and implementing dimensional data models for data warehousing solutions.
  • Knowledge of ETL tools and techniques for data integration and transformation.

Analytical Skills:

  • Strong analytical and problem-solving skills, with the ability to understand complex data requirements and translate them into technical solutions.
  • Experience working with stakeholders to gather and analyze business requirements and deliver solutions that meet their needs.

Communication and Collaboration:

  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Ability to communicate technical concepts to non-technical stakeholders and collaborate with colleagues from diverse backgrounds.

Preferred Qualifications:

  • Experience with cloud platforms such as OCI, AWS, Azure, or Google Cloud Platform, and proficiency in cloud-based data services.
  • Familiarity with any one of the data visualization tools such as OBIEE, Tableau, Power BI.
  • Certification or training in relevant data engineering and data warehousing technologies.