Principal Data Engineer

hace 1 semana


Zapopan, México Oracle A tiempo completo

Career Level - IC4**Data Engineering**:- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.- 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**:- 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 from source systems into the data warehouse, ensuring 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 Skills**:- 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.


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