Job Description

We 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).

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The 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.

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Key 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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Must-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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Valuable experience with Delta Lake / Lakehouse architecture.
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Solid experience with Azure Data Factory (ADF).
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Solid SQL and data transformation skills.
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Experience working with large-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