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# Senior Data Engineer (Azure)

- **Company:** Tiger Analytics
- **Location:** Diamond Bar, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Unix, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Raw Data, Azure Active Directory, SQL Databases, Unstructured Data, Data Processing, Scripting, Azure Data Factory, Apache Spark, Data Lakes, Data Management, Cloud Migration, Data Pipelines, Databricks
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-azure-diamond-bar-ca--4cb1f9d8-7bed-4266-9ba2-f5215a84e04b

## About the Role

Microsoft Windows Azure, Artificial Intelligence (AI), Analysis Skills, Microsoft Windows Azure, Leadership, Project/Program Management, Risk Management, Data Management, Communication Skills, Python Programming/Scripting Language, We are expanding our Data Engineering practice and looking for Azure Data Engineers 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., Below are the specifics.

 * Data Engineering Lead - 9+ years' experience leading DE engagements
 * Strong program management experience, managing complex data engineering initiatives - stakeholder management, risk management, offshore coordination with 6-10 members DE team.
 * Strong in communication; both at executive as well as execution level
 * Primary Skill- Azure, Databricks, SQL, Python
 * Secondary Skill- On Prem to Cloud Migration
 * Proficiency in Python programming.
 * Proficiency in SQL queries
 * Experience building data pipelines using Azure stack
 * 2+ years of experience using Apache spark
 * Good working experience on Delta Lake and ETL processing
 * 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
 * Strong communication and organizational skills