Position: Data Engineer
Company: ScrumLaunch
Experience required: 5y
English level: upper

Our company is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. You will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Education: Bachelor's or master's degree in Computer Science or similar field. Advanced degrees are
preferred.
Experience: Minimum of 7 years of experience in a data engineering role, preferably within the life sciences or pharmaceutical industry. Proven track record of successfully architecting, designing, and implementing advanced analytics capabilities.

Technical Expertise:
- Strong experience with advanced SQL, Spark, Python, Glue and AWS
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with scripting languages: Python, Java, Scala, etc.
- Experience extracting/querying/joining large data sets at scale

Life sciences expertise: In-depth knowledge of the life sciences industry at data sets such as IQVIA, InsightHealth, CGM etc. Experience working with healthcare professionals, patients, and other stakeholders is highly desirable.
Business acumen: Ability to understand business objectives and translate them into actionable marketing strategies. Excellent problem-solving skills and the ability to think strategically and analytically.

Communication skills: Strong written and verbal communication skills to effectively present complex data-driven insights to both technical and non-technical stakeholders. Ability to collaborate and build relationships with cross-functional teams.

Attention to detail: Meticulous attention to detail in data analysis, model development, and reporting. Ability to work with large datasets and ensure data accuracy and integrity.

Project management: Strong organizational and project management skills to handle multiple projects simultaneously, prioritize tasks, and meet deadlines.

If you are a highly motivated and analytical professional with a passion for data engineering and the life sciences industry, we would love to hear from you. Join our team and play a key role in driving our marketing strategies and business growth through data-driven insights and models.