WHO WE ARE

3vue LLC is a consulting firm, specializing in creating Business Intelligence and Data Analytics tools for Life Science and Pharmaceutical industries. We are proud to be the leading solution for 5 of the top 10 global pharmaceutical companies, along with multiple other small to mid-market Life Science companies. We are currently looking to add a few more extraordinary people to our team.

JOB QUALIFICATIONS

• Bachelor’s degree in IT, Data Science, or related field
• 2+ years of experience with Python, SQL, Scala
• Proficiency in Python/Scala for data engineering and ETL processes
• Strong expertise in developing Apache Spark applications using PySpark
• Hands-on experience with at least one platform: Cloudera, Databricks, or Snowflake
• Experience with data warehousing, data lakes, and cloud services (AWS, Azure)
• Strong communication skills for effective collaboration across disciplines and with team members of varying technical backgrounds.
• Ability to manage multiple projects with competing deadlines in a fast-paced environment.

INTERPERSONAL SKILLS:

• Must be able to work independently and in a team environment
• Ability to be proactive with regards to problem-solving and strong analytical skills
• Must be comfortable working in a fast-paced environment and handling multiple tasks/priorities
• EXCELLENT oral, written communication skills

• Ingest and aggregate data from external data sources to build datasets and make them ready for consumption.
• Help drive optimization, testing, and tooling to improve data quality
• Develop and maintain scalable data pipelines for data extraction, transformation, and loading (ETL) from various internal and external sources.
• Build and assemble large complex data sets that meet both functional and non-functional business requirements.
• Conduct data quality analysis, maintain master data, and ensure data integrity and consistency across all data sources.
• Document data architecture, pipeline workflows, and create data models to facilitate effective data management.
• Work with stakeholders, including business, product, and technology teams, to support data infrastructure and troubleshoot data-related issues.
• Provide guidance to team members, sharing expertise on best practices in data engineering, data system creation, and data validation.
• With minimal direction, plans, implements, manages, and/or contributes on projects that are moderate to high complexity and scale using accepted project management standards.