Job Description
About Position:
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nWe are seeking a hands-on Data Engineer with 6 to 10 years of experience in Data Engineering, Data Warehousing, and Big Data development. The ideal candidate will have strong expertise in Azure cloud technologies, Databricks, SQL, Python, and up-to-date data platform architectures. This role involves building scalable data pipelines, enabling analytics and AI/ML initiatives, and delivering reliable, high-performance data solutions that support enterprise business objectives.
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- Role: Data Engineer- LLMn
- Location: All Persistent Locationsn
- Experience: 6 to 10 Yearsn
- Job Type: Full Time Employmentn

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nWhat You'll Do:
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- Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks.n
- Build and optimize enterprise data warehouses, data lakes, and cloud-native data platforms.n
- Develop robust data processing solutions using Azure, Databricks, SQL, Python, and Spark.n
- Ensure data quality, integrity, availability, reliability,



and performance across enterprise data environments.n
- Partner with analytics, AI/ML, reporting, and business teams to deliver trusted data products.n
- Support AI/ML initiatives through feature engineering, data preparation, and pipeline development.n
- Work with Azure Data Factory, Synapse Analytics, Databricks, Snowflake, and related enterprise data platforms.n
- Implement data governance, metadata management, security, and compliance best practices.n
- Build monitoring, automation, and operational processes to improve platform reliability and efficiency.n
- Optimize data models, queries, and processing frameworks for performance and scalability.n
- Support structured and unstructured data processing across cloud-based data ecosystems.n
- Participate in Agile ceremonies and collaborate with cross-functional stakeholders.n
- Implement CI/CD pipelines, DevOps practices, Infrastructure as Code, and platform automation strategies.n
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📌 Data Engineer- LLM (Pune)
🏢 Persistent Systems
📍 Pune