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Job Description
Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity:
JOB LOCATION: Cambridge, MA
POSITION: Senior Data Engineer
POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Senior Data Engineer with the following duties: Design and maintain robust technical solutions for efficient ingestion, transformation, and loading of diverse data sources and large-scale, complex datasets with a focus on clinical and operational data; Develop and embed data profiling and data quality methodologies into data transformation processes across systems; Manage and influence data pipelines and analytical approaches, employing various technologies, big data preparation techniques, and programming to discover data patterns through exploratory analysis; Provide technical leadership on clinical data flow, assisting with the definition, build, and validation of APIs, data streams, and data staging for extraction and integration into various systems; Translate data science requirements from extensive records (billions) and unstructured datasets into mathematical algorithms using a range of tools, including programming languages and advanced technologies (AI and machine learning), to identify data patterns and optimize models; Possess strong expertise in ETL/ELT design and implementation within large, disparate, and complex datasets; Demonstrate experience with big data processing systems and distributed computing technologies such as Databricks, Spark, Sage Maker, and Kafka; Develop scalable and efficient solutions on cloud computing platforms and infrastructure within the data and analytics domain; up to 100% remote work allowed.
REQUIREMENTS: Bachelor's degree in Electronics and Communication Engineering or related field plus 5 years of related experience. Prior experience must include: Analyze requirements to establish a centralized virtualization layer using Denodo for data integration and optimization; Develop a solution to integrate TIDAL with Denodo virtualization tool for publishing reports as web services; Automate a solution to load huge data chunks using with Teradata Utilities such as multi-load, fast-load etc.; Participate in designing and implementing the transition from legacy systems to future systems using Informatica and Mainframe jobs.
Full time. $175,500.00 - $215,500.00 per year. Competitive compensation and benefits.
Qualified applicants can apply at https://jobs.takeda.com. Please reference job # R0149052. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Description
Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity:
JOB LOCATION: Cambridge, MA
POSITION: Senior Data Engineer
POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Senior Data Engineer with the following duties: Design and maintain robust technical solutions for efficient ingestion, transformation, and loading of diverse data sources and large-scale, complex datasets with a focus on clinical and operational data; Develop and embed data profiling and data quality methodologies into data transformation processes across systems; Manage and influence data pipelines and analytical approaches, employing various technologies, big data preparation techniques, and programming to discover data patterns through exploratory analysis; Provide technical leadership on clinical data flow, assisting with the definition, build, and validation of APIs, data streams, and data staging for extraction and integration into various systems; Translate data science requirements from extensive records (billions) and unstructured datasets into mathematical algorithms using a range of tools, including programming languages and advanced technologies (AI and machine learning), to identify data patterns and optimize models; Possess strong expertise in ETL/ELT design and implementation within large, disparate, and complex datasets; Demonstrate experience with big data processing systems and distributed computing technologies such as Databricks, Spark, Sage Maker, and Kafka; Develop scalable and efficient solutions on cloud computing platforms and infrastructure within the data and analytics domain; up to 100% remote work allowed.
REQUIREMENTS: Bachelor's degree in Electronics and Communication Engineering or related field plus 5 years of related experience. Prior experience must include: Analyze requirements to establish a centralized virtualization layer using Denodo for data integration and optimization; Develop a solution to integrate TIDAL with Denodo virtualization tool for publishing reports as web services; Automate a solution to load huge data chunks using with Teradata Utilities such as multi-load, fast-load etc.; Participate in designing and implementing the transition from legacy systems to future systems using Informatica and Mainframe jobs.
Full time. $175,500.00 - $215,500.00 per year. Competitive compensation and benefits.
Qualified applicants can apply at https://jobs.takeda.com. Please reference job # R0149052. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
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