Data Engineering Engineer V

Takeda Pharmaceuticals International AG; Chihuahua; Presencial; MXN 1,280,000 - 1,646,000; Jornada completa

Descripción de la vacante

A global innovative healthcare company is seeking a Senior Data Engineer to build and maintain data systems that support business intelligence. The ideal candidate will develop scalable data pipelines using AWS technologies and collaborate with various teams to enhance data models. A Bachelor's Degree and over 5 years of experience in data development are required. Join us in driving data quality and accessibility while contributing to impactful digital transformation initiatives.

Formación

• 5+ years of experience in software, data, data warehouse, and analytics reporting development.
• Strong experience with modern databases and AWS cloud technologies.
• Excellent written and verbal communication skills.

Responsabilidades

• Build and maintain data systems and datasets for analysis.
• Develop scalable data pipelines using AWS technologies.
• Collaborate with teams to improve data models for business intelligence.
• Monitor data quality and drive data reconciliation processes.
• Perform data analysis to troubleshoot data issues.

Conocimientos

Data/Big Data

AWS cloud technologies

Data integration

SQL optimization

Communication skills

Educación

Bachelor's Degree in Engineering, Computer Science, or related field

Herramientas

AWS DMS

Lambda

Databricks

Tidal or Airflow

Descripción del empleo

Senior Data Engineer, The Future Begins Here

• Mexico City has been selected to be home to Takeda’s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. We invite you to join our digital transformation journey
• In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement
• Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team

At Takeda’s ICC we Unite in Diversity

• As a Senior Data Engineer, you will be building and maintaining data systems and construct datasets that are easy to analyze and support Business Intelligence requirements as well as downstream systems
• Develops and maintains scalable data pipelines and builds out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools and dashboards, increasing data accessibility and fostering data-driven decision making across the organization
• Implements processes and systems to drive data reconciliation, monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes that depend on it
• Writes unit/integration/performance test scripts, contributes to engineering wiki, and documents work
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Works closely with a team of frontend and backend engineers, product managers, and analysts
• Works closely with enterprise teams including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering to design and develop data integration patterns/solutions along with proper data models supporting different data and analytics use cases
• Works with DevOps and Cloud Center of Excellence to deploy data pipeline solutions in Takeda AWS environments meeting security and performance requirements

Skills and Qualifications

• Bachelors’ Degree, from an accredited institution in Engineering, Computer Science, or related field
• 5+ years of experience in software, data, data warehouse, data lake, and analytics reporting development
• Strong experience in data/Big Data, data integration, data model, modern database (Graph, SQL, No-SQL, etc.) query languages and AWS cloud technologies including DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming, Visualization, etc
• Basic or intermediate experience in IDMC (Informatica) and in workflow orchestration tools such as Tidal or Airflow
• Solid experience in DBA, dimensional modeling, SQL optimization - Aurora is preferred
• Experience designing, building, maintaining data integrations using SOAP/REST web services/API, as well as schema design and dimensional data modeling
• Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams