Job Description
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 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.
As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives.
Requirements
- Bachelor's degree in Computer Science or similar field
- 8+ years of experience in a Data Engineer role
- Experience with relational SQL and NoSQL databases like MySQL, Postgres
- Strong analytical skills and advanced SQL knowledge
- Development of ETL pipelines using Python & SQL
- Having a good experience with Customer Data Platforms (CDP)
- Experience in SQL optimization and performance tuning
- Experience with data modeling and building high-volume ETL pipelines.
- Working experience with any cloud platform
- Experience with Google Tag Manager and Power BI is a plus
- Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
- Experience extracting/querying/joining large data sets at scale
- A desire to work in a collaborative, intellectually curious environment
- Strong communication and organizational skills
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Qualification
Bachelor's Degree
Key skill Required
- Java
- SQL
- MYSQL
- Python
- Advanced Analytics
- Business Intelligence
- Data Analytics
- Analytics
- Career Development
- Cloud Infrastructure
- Communication
- Computer Science
- Consulting
- Data Modeling
- Data Pipelines
- Data Science
- Development
- Google Tag Manager
- Infrastructure
- Intelligence
- Leadership
- Learning
- Machine Learning
- Market Research
- NoSQL
- Optimization
- Organizational Skills
- Performance Tuning
- Power BI
- Research
- Science
