Takeda
SeniorDataEngineer
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“Senior Data Engineer at Takeda. Skills: Data engineering, Data modeling, AWS cloud technologies, Data integration, SQL, Python. Building and maintaining data systems. Constructing data tables and data models optimized for operations and analysis”
What You'll Achieve.
Support increasing data sources, volumes, and complexity; Support the development of digital products; Ensure data accuracy and availability for key stakeholders, downstream systems, digital products, and business processes; Deliver integrated and scalable data products; Design and develop data integration patterns and models supporting various digital products; Meet security and performance standards
Industry & Context.
Troubleshoot and resolve data-related issues
What They're Looking For.
Must Have
Bachelor's Degree from an accredited institution in Engineering, Computer Science, or a related field, 5+ years of experience in data engineering, software development, data warehousing, data lake/mesh, and supporting digital products developing data products following FAIR data principles, expertise in data integration, data modeling, and modern database technologies (GraphQL, SQL, No-SQL, python, pySpark), expertise in AWS cloud technologies (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming), Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization, Excellent written and verbal communication skills, Understanding of good engineering practices (DevSecOps, source-code versioning using GIT), Proficient working in AGILE SCRUM Teams and using JIRA and Confluence, Knowledge of SDLC, Proficiency with version control (e.g., Git, GitHub, GitLab), familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions), Good understanding of software security principles and secure coding practices, Knowledge of automated testing tools and frameworks and practices (unit testing, integration testing, E2E testing), Familiarity with relational and non-relational databases (PostgreSQL, MongoDB, DynamoDB)
Nice to Have
7+ years of experience in data engineering, software development, data warehousing, data lake/mesh, and supporting digital products developing data products following FAIR data principles, Experience with streaming technologies like Spark Streaming or Kafka, Infrastructure as Code (IaC) experience, preferably with Terraform, Experience designing and developing API data integrations using SOAP / REST / FAST
What You'll Do.
Building and maintaining data systems
Constructing data tables and data models optimized for operations and analysis
Develop and maintain scalable data models and pipelines using AWS native technologies
Implement processes and systems to ensure data reconciliation
and ensure production data is accurate and available
and performance test scripts
Perform data analysis to troubleshoot and resolve data-related issues
How You'll Work.
Team & Collaboration
Collaborate with several business functions to improve data models and its quality; Work closely with AGILE SCRUM Teams, specifically frontend and backend engineers, product managers, scrum masters, quality engineers to deliver integrated and scalable data products; Collaborate with enterprise teams, including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering, to design and develop data integration patterns and models; Partner with DevOps and the Cloud Center of Excellence to deploy data pipeline solutions; Support and align with Data Trustees, Data Stewards, and Master Data Management functions
Communication Scope
Excellent written and verbal communication skills; Ability to collaborate effectively with cross-functional teams
Process & Methodology
Proficient working in AGILE SCRUM Teams
Full Job Description
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/). I further attest that all information I submit in my employment application is true to the best of my knowledge. ## **Job Description** **The Future Begins Here** At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. 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. **At Takeda’s ICC we Unite in Diversity** 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 **OBJECTIVES/PURPOSE** As Senior Data Engineer, you will be responsible for building and maintaining data systems and constructing data tables and data models that are optimized for operations and analysis, supporting several Business Function requirements and downstream systems. **ACCOUNTABILITIES** * Develop and maintain scalable data models and pipelines using AWS native technologies to support increasing data sources, volumes, and complexity. * Collaborate with several business functions to
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