Edwards Lifesciences

Data Engineer, Data Platform and Adv Analytics (BB-A7C5C)

Encontrado en: Neuvoo CR

In this role you will work on Data Analytics, Cloud Data Warehousing and Data Lake projects and be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. You will partner with data scientists, data architect, solution architects, business systems analysts and developers. Responsibilities: Design, develop, implement, and support AWS data lake infrastructure & services Create and maintain optimal data pipeline architecture, Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, ETL(e.g., Informatica Cloud) and AWS ‘Data Lake’ technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into patient care, operational efficiency and other key business performance metrics. Develop a deep understanding of AWS’s vast data sources and know exactly how, when, and which data to use to solve business problems. Monitor and maintain data lake security and data lake services. Manage numerous requests concurrently and strategically, prioritizing when necessary Troubleshoot technical issues and provide solutions and fixes using various tools and information such as server logs and report debug logs. General and administrative tasks Basic Qualifications: Bachelor’s degree in Computer Science, Information Systems, Mathematics or a related discipline. 6+ years of experience in Information Technology within a complex, matrixed and global business environment. 3+ years of hands on experience as a data engineer with AWS Data Lake Technologies and Services Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing AWS ‘Data Lake’ data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable AWS ‘Data Lake’ data stores. Understanding of database and analytical technologies in the industry including MPP and NoSQL databases (e.g., Snowflake), Data Warehouse design, ETL, BI reporting and Dashboard development. Experience with Agile framework and DevOps. Preferred Qualifications: Professional certifications e.g. AWS Certified solution architect, etc. AWS data lake administrations Excellent documentation and interpersonal relationship skills with ability to drive achievement of objectives. Strong interpersonal and leadership skills. Strong written and verbal communication skills including the ability to communicate at various levels within an organization and to explain complex or technical matters in a manner suitable for a non-technical audience. Knowledge of best practices related to Data lake, Data lake governance, Data Security (e.g., HITRUST), and Data Integration & Interoperability.

calendar_todayhace 13 horas

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info Full time

location_onCartago, Costa Rica

work Edwards Lifesciences

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