Azure Databricks Engineer

Persistent Systems; Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work

Long Service awards

Flexible work hours

Company-sponsored higher education and

certifications

Health insurance

Job summary

Persistent Systems is seeking an experienced Azure Databricks Engineer with 8–12 years of data engineering and cloud data platform expertise in Bengaluru. You will design and optimize enterprise-scale data pipelines, enable AI-ready data architectures, and collaborate with data scientists and engineers to deliver scalable solutions.

The role emphasizes DataOps/MLOps, data governance, and security, with a hybrid work model and opportunities to work on Generative AI initiatives.

Qualifications

• 8 to 12 years of experience in data engineering and enterprise-scale data platforms.
• Strong hands-on with Azure, Databricks, SQL, Python, and AI/ML workflows.
• Experience building ETL/ELT pipelines for structured, semi-structured, and unstructured data.

Responsibilities

• Design, develop, and optimize enterprise-scale data pipelines using Azure Databricks.
• Build scalable data ingestion, transformation, and processing frameworks for analytics and AI workloads.
• Develop and maintain ETL/ELT pipelines; translate business requirements into Azure data solutions.

Skills

Azure Databricks

Azure cloud services

Python

PySpark

SQL

AI/ML

RAG architectures

MLOps

Data modeling

Data governance

Tools

Azure Data Factory

Delta Lake

Job description

We are looking for an experienced Azure Databricks Engineer with 8 to 12 years of expertise in enterprise data engineering, cloud data platforms, and AI-driven data solutions. The ideal candidate will have strong hands-on experience in Azure, Databricks, SQL, Python, and AI/ML technologies, with a proven ability to build scalable and AI-ready data platforms that support analytics, machine learning, and Generative AI initiatives.

• Experience: 8 to 12 Years
• Job Type: Full-Time Employment

What You'll Do:

• Design, develop, and optimize enterprise-scale data pipelines using Azure Databricks.
• Build scalable data ingestion, transformation, and processing frameworks for analytics and AI workloads.
• Develop and maintain ETL/ELT pipelines supporting structured and unstructured data sources.
• Translate business requirements into scalable Azure-based data solutions.
• Support Enterprise Data Platform (EDP) architecture initiatives and roadmap programs.
• Design and implement data models to support reporting, analytics, and machine learning applications.
• Collaborate with business users, data scientists, architects, and engineering teams to deliver data-driven solutions.
• Build and optimize data solutions for AI/ML and Generative AI use cases.
• Implement data quality, governance, security, and compliance standards across data platforms.
• Develop scalable processing frameworks using Python, PySpark, and SQL.
• Support implementation of Retrieval-Augmented Generation (RAG) and AI-ready data architectures.
• Monitor, troubleshoot, and optimize data platform performance and reliability.
• Participate in architecture reviews and provide technical recommendations for data modernization initiatives.
• Drive Agile delivery using DevOps, DataOps, and MLOps best practices.
• Create technical documentation, design specifications, and operational runbooks.
• Mentor junior engineers and contribute to continuous improvement initiatives.

Expertise You'll Bring:

• 8 to 12 years of experience in Data Engineering and enterprise-scale data platform development.
• Strong expertise in Azure cloud services and Azure-based data architectures.
• Hands-on experience with Azure Databricks and large-scale distributed data processing.
• Strong SQL programming, query optimization, and performance tuning expertise.
• Proficiency in Python and PySpark for data engineering and transformation workloads.
• Experience building scalable ETL/ELT pipelines and modern data platforms.
• Strong understanding of data modeling, data warehousing, and lakehouse architecture concepts.
• Experience working with large-scale structured, semi-structured, and unstructured datasets.
• Knowledge of AI/ML workflows and machine learning data preparation techniques.
• Hands-on experience with Generative AI concepts, RAG architectures, vector stores, and embeddings.
• Understanding of MLOps, LLMOps, model deployment, monitoring, and lifecycle management practices.
• Experience implementing data governance, data quality, security, and compliance frameworks.
• Familiarity with Azure Data Factory, Delta Lake, and cloud-native data services.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent stakeholder management and communication skills.
• Experience working in Agile delivery environments and cross-functional teams.
• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."