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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:
Bachelor’s degree in Computer Science or similar field
4+ years of experience in IT industry
Expertise in Python and Pyspark
Experience building data pipelines using Azure stack
2+ years of experience using Apache spark
Good working experience on Delta Lake and ETL processing
Proficiency in SQL queries
Prior experience of working in a Unix environment
Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
Experience extracting/querying/joining large data sets at scale
Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
Experience in data wrangling, advanced analytic modeling is preferred
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