Data Engineer

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.

We are looking for a Data Engineer to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

Requirements

- 8+ years of overall industry experience specifically in data engineering
- Strong knowledge of data engineering principles, data integration, and data warehousing concepts.
- Should have MLops and Data Science knowledge.
- CPG/FMCG domain experience preferred
- Solid understanding of ETL processes and tools and Azure cloud platform.
- Strong programming skills in Python, SQL, or Scala.
- Good understanding of data modeling, data architecture, and database design.
- Should have exposure to technologies such as dbt, Apache airflow and Snowflake.
- 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.