Azure Data Engineer

🔥 16 hours ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

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.

📋 Description

• Design and implement advanced analytics capabilities • Build data platforms using the Azure stack and Spark SQL • Build data ingestion pipelines using Azure Data Factory for structured and unstructured data • Harmonize raw data into consumer-friendly formats using Azure Databricks • Build data marts with Snowflake using data residing in Azure storage

🎯 Requirements

• Bachelor’s degree in Computer Science or similar field • Strong in Python scripting • Experience extracting/querying/joining large data sets at scale • Experience building data platforms using Azure stack and Spark SQL • 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 utilizing Snowflake to build data marts with the data residing in Azure storage is a plus • Good to have exposure to Big data applications • Strong communication and organizational skills

🏖️ Benefits

• Excellent opportunity for significant career development • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities protected by federal, state, or local law

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