Tiger Analytics
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing
Big Data Engineer - Azure
February 8
Tiger Analytics
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing
📋 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 looking for top-notch talent as we continue to build the best global analytics consulting team in the world. •The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. •These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.
🎯 Requirements
•Bachelor’s degree in Computer Science or similar field •4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) •Experience in Java/Python/Scala •Experience extracting/querying/joining large data sets at scale •Experience building data platforms using Azure stack •Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data •Strong knowledge on Azure Storage schematics such as Gen1 and Gen2 •Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks •Knowledge of Azure networking, security, key vaults, etc. •Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred •Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus •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.
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