Data Engineer

As a Data Engineer at our company, you will play a crucial role in designing, developing, and maintaining scalable data pipelines and ETL processes to support our data-driven initiatives in the drug safety or pharmacovigilance domain. **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.,