Job DescriptionWe are looking for a Data Engineer with 6–12 years of experience in building and supporting scalable data engineering solutions across Azure and Big Data platforms. The ideal candidate should have strong 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.
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- Build data transformation and processing solutions using Delta Lake and Lakehouse architecture.
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- Develop and optimize ETL/ELT pipelines using Talend for large-scale data ingestion and transformation.
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- Work with Hadoop ecosystem technologies for distributed data processing and storage.
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- Integrate data from multiple sources including databases, APIs, files, and streaming platforms.
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- Build and manage data orchestration workflows using Azure Data Factory (ADF).
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- Optimize Spark jobs, Databricks clusters, and data pipelines for performance and cost efficiency.
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- Implement data quality,validation, security, and governance practices.
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- Collaborate with architects, business stakeholders, and data teams to understand requirements and deliver technical solutions.
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- Participate in code reviews, technical discussions, and implementation of engineering best practices.
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- Work with DevOps teams on CI/CD and deployment automation for data engineering solutions.
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- Troubleshoot and resolve data pipeline and production issues.
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nMust-Have Skills

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- 6–12 years of experience in Data Engineering / Big Data Engineering.
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- Strong hands-on experience with Azure Databricks and PySpark.
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- Strong experience with Hadoop and its ecosystem.
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- Hands-on experience with Talend for ETL/data integration.
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- Good experience with Delta Lake / Lakehouse architecture.
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- Strong experience with Azure Data Factory (ADF).
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- Solid SQL and data transformation skills.
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- Experience working withlarge-scale datasets and distributed data processing.
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- Understanding of cloud-based data engineering and data integration concepts.
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- Exposure to CI/CD and DevOps practices.
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📌 Lead Data Engineer (Bengaluru)
🏢 Apexon
📍 Bengaluru