Sr Manager, Data Engineering
Edwards Lifesciences
Dry Plant, Cartago, Costa Rica
hace 1 hora

Key Responsibilities :

  • Design, develop, implement, support, and operationalize 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 ELT (e.
  • g., AWS Glue), ETL (e.g., Informatica Cloud), CDC (e.g., HVR / AWS DMS) and other AWS Data Lake’ technologies.

  • Support Traditional Datawarehouse and Operational Data Stores build on Oracle Databases.
  • Support analytics tools team that utilizes 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 (External and Internal) 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.
  • Support General and administrative tasks.
  • Lead Data Engineers and ELT / ETL Developers.Education and Experience :
  • Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related discipline.
  • 10+ years of experience in Information Technology within a complex, matrixed, and global business environment.
  • Expertise on data engineer processes with AWS Data Lake Technologies and Services.
  • Experience on ETL / ETL tools (Informatica IICS, Informatica Power Center) and log-based replication tools (e.g., HVR, AWS DMS, Qlik Attunity).
  • SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience on 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.
  • Understanding 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.
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