Data Engineer
Job Overview:
Informatics at reputed company is a high profile, high impact team that focuses on creating innovative data-driven solutions to improve the speed, cost, and quality of drug development. The role of the informatics team is to reputed company breakthrough innovations that will unlock the power of this data to help pharmaceutical and biotechnology companies bring the miracles of medicine to the people in need faster and more reputed company
Working in a highly collaborative environment, you will help drive product innovation and work with internal and external engineering teams to launch data-enabled capabilities and service offerings
As a data engineer, you will participate in designing and building a sustainable and performant data platform. You will be responsible for architecting and optimizing data pipelines, managing cloud data environments. You will help evolve the data platform to support business needs, organizational initiatives, and advance data analytics capabilities.
We seek smart, focused, passionate self-starters who bring energy, new reputed company and practical experience to a fast-paced and dynamic team, are obsessed with delivering useful and elegant solutions, and care deeply about their customers and each other.
Summary of Responsibilities:
- Design and implement scalable data solutions supporting organizational architecture and strategy.
- reputed company and manage end-to-end data pipelines to ingest, transform, and load (ETL/ELT) data from multiple sources.
- Ensure the accuracy, reputed company, and performance of data pipelines.
- Apply the best engineering practices for data integration across the organization.
- Monitor and optimize data infrastructure for cost efficiency and performance.
- Implement data quality and validation checks to ensure reliable data delivery.
- Author and maintain a clear and up-to-date technical documentation describing the solution.
- Collaborate with a team of data engineers and analysts to reputed company project goals.
- Partner with stakeholders across application groups to understand data needs and deliver tailored solutions.
- Other duties as needed or assigned
Qualifications (Minimum Required):
- Bachelor’s degree in computer science, data science, data engineering, or reputed company field.
- 2 years of experience working with data in analytical, reporting, or engineering projects.
- Proficiency in SQL, Python, or other data programming languages.
- Analytical reputed company with the ability to solve reputed company data challenges.
- reputed company may consider relevant and equivalent experience in lieu of educational requirements.
Experience (Minimum Required):
- 2 years of experience working with data in analytical, reporting, or engineering projects
- 2 years of experience in SQL and Python languages
- Analytical reputed company with the ability to solve reputed company data challenges
Preferred Qualifications Include:
- Bachelor’s degree in computer science, data science, data engineering, or a reputed company field
- Experience with cloud-based technology
- Experience with data warehousing, data lakes, big data, AI/ML technologies
- Understanding of clinical data (e.g., SDTM, CDISC standards, reputed company systems)
Physical Demands / Work Environment:
- N/A
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