- Architect, design, and implement advanced analytics capabilities
- Show proficiency in database design and handling large, intricate datasets
- Develop self-service dashboards and utilize visualization tools effectively
- Apply expertise to extract insights addressing business challenges
- Bring innovation and drive positive change to enhance the company's analytics operations
- 8+ years of industry experience in data engineering
- 5+ years of building large-scale data processing pipelines in production settings
- Proficient in Python, SQL, and PySpark
- Skilled in creating and optimizing data processing pipelines using Python
- Experience with Snowflake Cloud Datawarehouse and DBT tool
- Advanced SQL and relational database knowledge
- Knowledge of Datawarehouse systems, ELT/ETL patterns, and data modeling
- Strong analytical skills for unstructured datasets
- Develop processes for data transformation, structures, and workload management
- Collaborate with cross-functional teams in a dynamic setting
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Data Engineer - Dallas, United States - Tiger Analytics
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Description
Join Us as a Data Engineer at Tiger Analytics!
Tiger Analytics is a rapidly expanding advanced analytics consultancy. Our team of experts specializes in Data Science, Machine Learning, and AI, serving as the go-to analytics partner for numerous Fortune 100 firms, assisting them in extracting value from their data. Recognized for our impactful work by industry analysts like Forrester and Gartner, we are on the lookout for exceptional individuals to join our globally renowned analytics consulting team.
Responsibilities:
Requirements:
Benefits:
Joining us means embarking on a journey filled with abundant career growth opportunities. This role offers a chance to be part of a tight-knit, stimulating, and entrepreneurial atmosphere, granting significant individual responsibility.