Data Transformation Engineer

2 weeks ago

Mumbai, Maharashtra, India Astellas Pharma Inc. Full time
Job Summary

At Astellas Pharma Inc., we are seeking a highly skilled Data Transformation Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing and implementing comprehensive data transformation strategies to support our clinical and operational data management needs.

Key Responsibilities
  • Develop and maintain scalable, efficient, and secure ETL, data warehouses, and data lakes to store and manage clinical data effectively.
  • Design and implement data models, schemas, and integration frameworks to ensure the integrity and accessibility of clinical data.
  • Perform all data engineering tasks and implement data pipelines and ETL processes to ingest, transform, and load clinical data from various sources into the data infrastructure.
  • Optimize data workflows through ELT processes and other strategies to ensure smooth operation and performance.
  • Develop APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
  • Implement security controls, encryption mechanisms, 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.
  • Document data ingestion designs, technical specifications, and operational procedures to facilitate knowledge transfer and support ongoing maintenance and enhancements.
  • Communicate effectively with stakeholders to ensure alignment of engineering solutions with organizational goals and objectives.

Requirements
  • Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.
  • 3-5 years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry.
  • Expertise (3-5 years) in ETL and Data Integration tools like Talend (preferred), Databricks, or DB Lakehouse.
  • Strong command of database design, data modelling, and data integration techniques.
  • Proficiency in programming languages commonly used in data management and analysis, such as SQL, SAS, Python, or R.
  • Expertise in working with databases and data warehousing technologies like SQL Server, Oracle, MySQL, AWS Redshift, Azure Synapse, Google BigQuery etc.
  • Familiarity with BI tools like QlikSense, Tableau and PowerBI.
  • 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.
  • Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.
  • Project management capabilities, ensuring adherence to timelines for successful solution delivery.
  • Demonstrated commitment to staying current with the latest trends, technologies, and best practices in the data and analytics field.
  • Relevant certifications in cloud computing and data analytics tools/platforms are advantageous.

Preferred Qualifications
  • Life Sciences / Pharma industry experience
  • 3-5 years demonstrated experience with Talend
  • Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery.

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