Overview
On Site
Full Time
Skills
Attention to detail
Advanced analytics
Data Science
Machine Learning (ML)
Market research
Data integration
Data flow
Decision-making
Data engineering
Data warehouse
Data modeling
Database design
Data architecture
Big data
Problem solving
Data
Analytics
Artificial intelligence
Leadership
Collaboration
Pharmaceutics
Health care
SQL
Python
Extract
transform
load
Apache Hadoop
Apache Spark
Cloud computing
Amazon Web Services
Microsoft Azure
Analytical skill
Communication
FOCUS
eXist
Job Details
Tiger Analytics 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 several Fortune 100 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 analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.
Requirements
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.
Requirements
- 8+ years of overall industry experience specifically in data engineering
- Strong knowledge of data engineering principles, data integration, and data warehousing concepts.
- Strong understanding of the pharmaceutical domain, including knowledge of clinical data, drug development processes, regulatory requirements, and healthcare data.
- Proficiency in data engineering technologies and tools, such as SQL, Python, ETL frameworks, data integration platforms, and data warehousing solutions.
- Experience with data modeling, database design, and data architecture principles.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms - AWS, Azure
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
- Strong communication and collaboration abilities.
- Attention to detail and a focus on delivering high-quality work.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.