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Clinical Data Engineer (ETL)
Astellas Pharma
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop and maintain comprehensive data streaming architecture strategies tailored to the needs of Clinical and Operational data management.
- Design, develop, and maintain ETL (Extract, Transform, Load) processes to efficiently move clinical data from various sources to target systems.
- Develop and implement data load strategies to ensure design integrity and flexibility.
- Develop and implement data transformation logic to clean, standardize, and enrich raw clinical data.
- Optimize data workflows and performance through automation, parallel processing, and data partitioning techniques.
- Design scalable data pipeline architectures to handle large volumes of clinical data.
- Develop APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
- Ensure data compatibility and compliance with industry standards such as HL7, FHIR, ICH M11, and others.
- Implement security controls, encryption mechanisms, redaction logic, and access management policies to protect sensitive data from unauthorized access, breaches, and cyber threats.
- Monitor compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy laws, and implement measures to address potential risks and vulnerabilities.
- Continuously monitor ETL job performance and make necessary adjustments to improve speed and reliability.
- Document data flow designs, technical specifications, and operational procedures to facilitate knowledge transfer and support ongoing maintenance and enhancements.
- Proactively identify and address potential bottlenecks and challenges in data processing workflows.
- Work closely with cross-functional teams including data mangers, clinical leads, statisticians, statistical programmers, researchers, DigitalX members, and regulatory experts to understand requirements and priorities for clinical data management and analysis.
- Participate in data governance initiatives to standardize data practices and ensure compliance with organizational policies.
- Stay abreast of emerging technologies, trends, and best practices in clinical data management, architecture, and engineering.
Qualifications:
Required:
- Bachelor s degree in computer science, Information Technology, Data Science, Engineering, or a related field.
- 7+ years experience in Life Sciences industry
- Advanced Analytics experience
Preferred:
- Master of Science degree in Computer Science, Information Systems, Data Science, or a related field.
- 5+ years experience in Life Sciences industry
- Expertise in data pipeline design, data modelling, and data integration techniques.
- Proficiency in designing solutions per business customer use cases utilizing toolsets including R/Python platforms, high-performance computing, dense data storage, and ETL data capabilities.
- Expertise in working with databases and data warehousing technologies like SQL Server, Oracle, MySQL, AWS Redshift, Azure Synapse, Google BigQuery etc.
- Strong command in ETL and Data Integration technologies like Talend, AWS Glue and DataBricks.
- In-depth understanding of life sciences business processes, adept at translating business requirements into effective technical solutions.
- Innovative problem-solving abilities for addressing complex data-related challenges.
- Experience with Agile methodology and mindset.
- Possess subject matter expertise on creating a data mesh or federated data architecture that can tap into data among disparate data warehouses, real-world data, and file-based data (structured and unstructured).
- Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.
- Demonstrated leadership skills, including guiding technical teams, offering mentorship, and influencing architectural decisions.
- Relevant certifications in data engineering or specific ETL tools (e.g., Talend, Informatica Certified Specialist, AWS Certified Big Data - Specialty) are advantageous.
Benefits:
- Medical, Dental and Vision Insurance
- Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks
- Country Specific Retirement Savings Plan (401k, RRSP, etc.)
- Company paid life insurance
- Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
- Long Term Incentive Plan for eligible positions
- Referral bonus program
Employment Type: Full Time, Permanent
Functional Areas: Software/Testing/Networking
Read full job description What people at Astellas Pharma are saying
Data Engineer salary at Astellas Pharma
reported by
1
employee
with 3
years exp.
₹12.6
L/yr - ₹16.1
L/yr
36%
more
than the average Data Engineer Salary in India
View more details
What Astellas Pharma employees are saying about work life
based on 18 employees
Flexible timing
Monday to Friday
Within country
Day Shift
Astellas Pharma Benefits
Health Insurance 
Work From Home 
Soft Skill Training 
Education Assistance 
Job Training 
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