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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 robust hands-on experience with Azure data services, including Databricks and Data Factory, along with a solid understanding of modern 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
- Strong 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

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Requirements added by the job poster

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- 4+ years of work experience with Azure Data Factory
- 4+ years of work experience with Azure Databricks

Apply on Kit Job: kitjob.in/job/42qh7k

📌 Data Engineer (Nellore)
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