Data Engineer

Experience: 2-5 years

Job Summary: We are seeking a skilled Data Engineer with 2-5 years of industry experience to join our dynamic team. The ideal candidate will have a strong background in data engineering and a keen interest in the drug safety or pharmacovigilance domain. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our data-driven initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality and integrity through rigorous testing and validation.
• Optimize and tune data processing systems for performance and scalability.
• Implement data governance and security best practices.
• Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data.
• Develop and maintain documentation for data engineering processes and systems.
  
  

Qualifications

• Bachelor's degree in computer science, Engineering, or a related field.
• 2-5 years of experience in data engineering or a related role.
• Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle RDBMS).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with data warehousing solutions (e.g., Redshift, Big Query).
• Strong programming skills in Python, Java, or Scala.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Knowledge of data modeling, ETL processes, and data integration.
• Experience in the drug safety or pharmacovigilance domain is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.