Job Description
Job description
nRequirement details:
nRole : Azure Data Engineer
nLocation : Bengaluru / 5 days WFO
nInterview Process
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- Round 1: Face-to-Face Interviewn
- Round 2: Virtual Techno Managern

nJob Summary
nWe are looking for a Data Engineer with 6to 8 years of experience in building and supporting scalable data engineering solutions across Azure and Big Data platforms. The ideal candidate should have robust hands-on experience with Azure Databricks, PySpark, Hadoop, Talend, Delta Lake, and Azure Data Factory (ADF).
nThe role will involve developing, integrating, and optimizing data pipelines that support analytics, reporting, and AI/ML initiatives, while working closely with data architects, engineers, and business stakeholders.
nKey Responsibilities
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- Develop and maintain scalable data pipelines using Azure Databricks and PySpark.n
- Build data transformation and processing solutions using Delta Lake and Lakehouse architecture.n
- Develop and optimize ETL/ELT pipelines using Talend for large-scale data ingestion and transformation.n




- Work with Hadoop ecosystem technologies for distributed data processing and storage.n
- Integrate data from multiple sources including databases, APIs, files, and streaming platforms.n
- Build and manage data orchestration workflows using Azure Data Factory (ADF).n
- Optimize Spark jobs, Databricks clusters, and data pipelines for performance and cost efficiency.n
- Implement data quality, validation, security, and governance practices.n
- Collaborate with architects, business stakeholders, and data teams to understand requirements and deliver technical solutions.n
- Participate in code reviews, technical discussions, and implementation of engineering best practices.n
- Work with DevOps teams on CI/CD and deployment automation for data engineering solutions.n
- Troubleshoot and resolve data pipeline and production issues.n

nMust-Have Skills
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- 6 to 8 years of experience in

📌 Senior Azure Data Engineer | 7+ Years | Bangalore (Bengaluru)
🏢 Apexon
📍 Bengaluru