Senior Databricks Engineer

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior Databricks Engineer to design and build scalable data and AI platforms for enterprise-wide analytics and machine learning initiatives. The ideal candidate will have strong hands-on experience with Databricks, Delta Lake, and Apache Spark. This role offers a collaborative and innovation-driven environment with opportunities for career growth and professional development.

Key Highlights

Design and build scalable ELT pipelines and workflows using Databricks, Apache Spark, and Delta Lake technologies

Implement and maintain Medallion Architecture data layers

Develop automated orchestration workflows, dependency management systems, and monitoring processes for enterprise-scale data operations

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Key Responsibilities

Design, build, and optimize scalable ELT pipelines and workflows using Databricks, Apache Spark, and Delta Lake technologies

Implement and maintain Medallion Architecture data layers

Develop automated orchestration workflows, dependency management systems, and monitoring processes for enterprise-scale data operations

Integrate enterprise platforms into centralized data ecosystems

Implement data quality checks, validation rules, and monitoring systems

Support centralized metadata management, lineage tracking, and governance policy enforcement

Collaborate with AI/ML teams to deliver feature-rich datasets and scalable MLOps workflows

Technical Skills Required

Databricks Delta Lake Apache Spark Medallion Architecture ELT pipelines SQL Python Scala Unity Catalog MLflow Microsoft Azure Amazon Web Services

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Benefits & Perks

Fully remote work flexibility within India

Opportunity to work on advanced enterprise Data & AI transformation initiatives

Exposure to modern cloud-native architectures, MLOps workflows, and scalable analytics ecosystems

Job Description

This role offers an exciting opportunity to design and build scalable Data & AI platforms that power enterprise-wide analytics, machine learning, and strategic decision-making initiatives.You will play a key role in developing modern cloud-native data architectures using Databricks and Medallion Architecture principles to manage large-scale data workflows and ELT pipelines.The position combines advanced data engineering, platform integration, governance, and AI-ready infrastructure development within a highly collaborative and innovation-driven environment.

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