Big Data
hace 1 semana
Responsibilities:
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.
Qualifications:
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.
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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