Senior Data Engineer

Key Responsibilities

• 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 improve data models and its quality to support the development of digital products, fostering data-driven decision-making across the organization.
• Implement processes and systems to ensure data reconciliation, monitor data quality, and ensure production data is accurate and available for key stakeholders, downstream systems, digital products, and business processes.
• Write unit, integration, and performance test scripts, contribute to engineering documentation, and maintain the engineering wiki.
• Perform data analysis to troubleshoot and resolve data-related issues.
• 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 supporting various digital products.
• Partner with DevOps and the Cloud Center of Excellence to deploy data pipeline solutions in the Takeda AWS environments, meeting security and performance standards.
• Support and align with Data Trustees, Data Stewards, and Master Data Management functions following Data Governance principles.

Qualification & Requirements

Essential

• Bachelor’s Degree from an accredited institution in Engineering, Computer Science, or a related field.
• 5+ (preferably 7+) years of experience in data engineering, software development, data warehousing, data lake/mesh, and supporting digital products developing data products following FAIR principles.
• Strong expertise in data integration, data modeling, and modern database technologies (GraphQL, SQL, No-SQL, python, pySpark) and 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, with the ability to collaborate effectively with cross-functional teams.
• 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

Nice To Have

• 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.

Benefits

• It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:
• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms
• Diversity, Equity, and Inclusion Programs
• No Meeting Days
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days)