Senior Data Engineer

Takeda Pharmaceuticals; Boston (MA); Remote; USD 175,000 - 216,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to lead the design and implementation of robust data solutions. This role involves managing complex datasets, developing data quality methodologies, and providing technical leadership on data pipelines. The ideal candidate will leverage advanced technologies, including AI and machine learning, to optimize data models and streamline processes. With the flexibility of remote work, this position offers a competitive salary and the opportunity to make a significant impact in the data and analytics domain. If you're passionate about data engineering and looking for a challenging yet rewarding role, this is the perfect opportunity for you.

Qualifications

• 5+ years of experience in data engineering and ETL/ELT processes.
• Strong expertise in big data processing and distributed computing technologies.

Responsibilities

• Design and maintain technical solutions for data ingestion and transformation.
• Provide technical leadership on clinical data flow and API development.

Skills

Data Engineering

ETL/ELT Design

Data Quality Methodologies

Data Profiling

Big Data Processing

Programming Languages

Data Analysis

API Development

Education

Bachelor’s degree in Electronics and Communication Engineering

Tools

Databricks

Spark

Sage Maker

Kafka

Denodo

Informatica

Teradata Utilities

Job description

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:

1. 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.
2. Develop and embed data profiling and data quality methodologies into data transformation processes across systems.
3. Manage and influence data pipelines and analytical approaches, employing various technologies, big data preparation techniques, and programming to discover data patterns through exploratory analysis.
4. 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.
5. 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.
6. Possess strong expertise in ETL/ELT design and implementation within large, disparate, and complex datasets.
7. Demonstrate experience with big data processing systems and distributed computing technologies such as Databricks, Spark, Sage Maker, and Kafka.
8. 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:

1. Analyze requirements to establish a centralized virtualization layer using Denodo for data integration and optimization.
2. Develop a solution to integrate TIDAL with Denodo virtualization tool for publishing reports as web services.
3. Automate a solution to load huge data chunks using Teradata Utilities such as multi-load, fast-load etc.
4. 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