Senior Data Engineer

Senior Data Engineer

posted by: spj_bot

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are looking for a Senior Azure Data Engineer with strong expertise in Microsoft Azure data services, Python, Scala, and Apache Spark. The ideal candidate will design, develop, and maintain scalable data pipelines and ETL/ELT solutions to support enterprise data platforms.

Key Responsibilities:

Job Skills

color reliability automation data data performance tuning ul manage data data version control data engineer dependency management artificial intelligence big datum adapt data technologies debugging data platforms invests upskilling apache spark landscape sql data pipeline computer science troubleshooting emerge technology cloud native data quality data services latin application development term life insurance analytical data validation information technology business transformation azure data data engineering processes data azure databrick enterprise platforms python data ingestion life insurance computer engineering data transformation data processing data lake collaborate reliable control m storage analytics collaboration innovation scala quality support production adoption problem solving data sources scalability consulting accounts disability ETL production support microsoft azure scale big data workflow azure services scheduling job data pipelines transformation retirement accounts
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