Job Description

ACL Digital is Hiring for Lead Data Engineer

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Experience : 9-13 Years

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Notice Period : Immediate

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Job Location : Bangalore ( Client Location)

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Interview Mode : L1 and L2 Virtual.

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We are seeking an experienced Databricks Data Engineer with strong AWS expertise to design, build, optimize, and support enterprise-scale data pipelines and Data Products. The engineer will be responsible for developing scalable Lakehouse solutions on AWS and Databricks, implementing Bronze/Silver/Gold data architectures, ensuring data quality, and enabling trusted analytics and AI-ready data assets across the enterprise.

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The ideal candidate will possess strong hands-on experience with Databricks, PySpark, Delta Lake, AWS data services, CI/CD automation, and contemporary data engineering practices.

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Key Responsibilities

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Data Pipeline Development

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Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and AWS.

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Build and support Bronze, Silver, and Gold layer data pipelines.

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Develop reusable ingestion and transformation frameworks.

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Implement incremental processing using CDC, checkpoints, and watermarking techniques.

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6+ years of Data Engineering experience.

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3+ years of Databricks experience.

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3+ years of AWS Data Platform experience.

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Experience supporting enterprise-scale analytics or Data Product initiatives.

📌 Data Engineer (Bengaluru)
🏢 ACL Digital
📍 Bengaluru