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RxLogix Corporation

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2.6

based on 99 Reviews

1 RxLogix Corporation Data Engineer Job

Data Engineer

RxLogix Corporation, Inc.

2.6

based on 99 Reviews

2-5 years

Noida

1 vacancy

Data Engineer

RxLogix Corporation

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacovigilance Python SQL MySQL Clinical Trials Postgresql

+ 3 more

Job Description

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.