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.
