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Job Title: Data Engineer

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Experience – 4 to 5 years

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Location: PAN India

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Duration: Contract (6–12 months, extendable)

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Job Summary:

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We are looking for a skilled Data Engineer with 4–5 years of experience to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have solid hands-on experience with Azure data services, including Databricks and Data Factory, along with a solid understanding of contemporary data architecture.

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Key Responsibilities:

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Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory
Build and optimize data processing workflows using Azure Databricks
Develop and manage data warehouse solutions (star/snowflake schema, data modeling)
Integrate data from multiple sources (APIs, databases, flat files, etc.)
Ensure data quality, integrity,



and performance across pipelines
Collaborate with data analysts, business teams, and stakeholders for requirements gathering
Monitor and troubleshoot data workflows and production issues
Implement best practices for data governance, security, and scalability

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Required Skills & Qualifications:

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4–5 years of experience in Data Engineering
Robust hands-on experience with Azure Data Services
Data Warehousing concepts and tools
Proficiency in SQL and Python / PySpark
Experience with data modeling and performance tuning
Familiarity with Azure ecosystem (Azure Storage, Synapse, etc.)
Understanding of ETL/ELT frameworks and best practices

Apply on Kit Job: kitjob.in/job/42vuth

📌 Data Engineer Nellore
🏢 Bluo Software India
📍 Nellore