5,043 Azure Databricks jobs in India

Core Responsibilities-

Seasoned Databricks developer having 6+ years of experience is expected to design, build, and maintain scalable data pipelines and workflows using Azure Databricks. This includes:

• Developing ETL pipelines using Python, SQL, and Delta Live Tables
• Managing job execution through Databricks Jobs, including scheduling and parameterisation
• Implementing data transformation using built-in Databricks features Collaborating with data architects and analysts to ensure data models align with business needs
• Implementing security and governance using features like encryption, access control and data lineage tracking Data performance management using built-in Databricks features (i.e. concurrency for better query execution) Must be an expert in writing complex SQL queries.

Technical Skills

The following technical proficiencies are commonly required:

• Languages: Python, SQL Databricks
• Features: Delta Lake, Delta Live Tables, MLflow, Databricks Jobs, Secrets Management, encryption access control etc.
• Azure Integration: Azure Key Vault, Azure Functions, Azure Data Lake, Azure DevOps
• Deployment Pipelines: Experience with CI/CD for Databricks and integration with Snowflake schemas (DEV, PRE-PROD, PROD)
• Monitoring & Optimisation: Cost analysis of clusters, performance tuning, and job concurrency management Desirable Experience Working knowledge of Control-M for orchestrating Databricks jobs
• Familiarity with Power BI integration and semantic modelling Exposure to geospatial or time-series data processing using Databricks Basic knowledge of data modelling

Share your resume at if you are early or immediate joiner.

About Position:

We are hiring for skilled Azure Databrick Architect with 12 to 17 Years of experience in python, sql.

• Role: Azure Databricks Architect
• Location: All Persistent Locations
• Experience: 12 to 17 years
• Job Type: Full Time Employment

What You'll Do:

• 12+ years of experience in data architecture, data engineering, or analytics.
• 5+ years of hands-on experience with Azure Databricks, Apache Spark, and Delta Lake.
• Strong proficiency in Azure Data Lake, Azure Synapse, Azure Data Factory, and Azure SQL.
• Expertise in Python, Scala, and SQL for data processing.
• Deep understanding of data modeling, ETL/ELT processes, and distributed computing.
• Experience with CI/CD pipelines and DevOps practices in data engineering.
• Excellent communication and stakeholder management skills.
• Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer) are a plus.

Expertise You'll Bring:

• Experience in implementing ML/AI models in Databricks.
• Knowledge of data governance tools like Purview.
• Familiarity with real-time data processing using Kafka, Event Hubs, or Stream Analytics.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles 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
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. 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 offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, 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. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

For more detail, please contact –

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

Job Summary:

Are you someone who has a strong data engineering background who is passionate about tackling complex enterprise business challenges by designing data driven solutions? Then read on!

ValueMomentum is looking for an experienced Databricks Architect to join our team and provide technical leadership and expertise in designing and implementing scalable and efficient data solutions using the Databricks platform. You will be part of a highly collaborative and growing team and solve complex business challenges leveraging the modern data and analytics technologies. As a Databricks Architect, you will play a critical role in driving the architectural direction, guiding the development team, and ensuring the successful delivery of complex data projects. This is an exciting opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and shape the future of our data infrastructure.

At ValueMomentum, we endorse a culture of experimentation and constantly strive for improvement and learning. You will be exposed to advanced tools, technologies, methodologies, and best practices that will help you develop your skills and grow in your career.

Know your team:

ValueMomentum’s (DL) team is trusted by leading insurance, financial services, and healthcare payers to empower businesses with real-time insights. The DL team is focussed on helping our customers modernize data infrastructure, create effective business intelligence capabilities and develop analytics models to generate business driven insights and outcomes. DL team provides a wide range of capabilities to our customers including advisory services, strategy consulting, data engineering, data management, data governance, BI and Analytics.

Responsibilities:

Job description

The Data Architect for presales will engage with clients to understand their data challenges, tailor technical solutions, and present compelling proposals. Bridge the gap between technical intricacies and client business needs, showcasing the value of our data architecture and domain expertise. Drive pre-sales success by leveraging deep understanding of data systems and strategic thinking.

Solution Development and Strategy

Data Solutions Delivery

Leadership and Innovation

Building and Growth of Practice

Marketing Support

What we need in you

Requirements:

Candidates are required to have these mandatory skills:

About the Company:

Headquartered in New Jersey, US, ValueMomentum is the largest standalone provider of IT Services and Solutions to Insurers. Our industry focus, expertise in technology backed by R&D, and our customer-first approach uniquely position us to deliver the value we promise and drive momentum to our customers’ initiatives. ValueMomentum is amongst the top 10 insurance-focused IT services firms in North America by number of customers. Leading Insurance firms trust ValueMomentum with their Digital, Data, Core, and IT Transformation initiatives.

Benefits:

We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:

Core Responsibilities-

Seasoned Databricks developer having 6+ years of experience is expected to design, build, and maintain scalable data pipelines and workflows using Azure Databricks. This includes:

• Developing ETL pipelines using Python, SQL, and Delta Live Tables
• Managing job execution through Databricks Jobs, including scheduling and parameterisation
• Implementing data transformation using built-in Databricks features Collaborating with data architects and analysts to ensure data models align with business needs
• Implementing security and governance using features like encryption, access control and data lineage tracking Data performance management using built-in Databricks features (i.e. concurrency for better query execution) Must be an expert in writing complex SQL queries.

Technical Skills

The following technical proficiencies are commonly required:

• Languages: Python, SQL Databricks
• Features: Delta Lake, Delta Live Tables, MLflow, Databricks Jobs, Secrets Management, encryption access control etc.
• Azure Integration: Azure Key Vault, Azure Functions, Azure Data Lake, Azure DevOps
• Deployment Pipelines: Experience with CI/CD for Databricks and integration with Snowflake schemas (DEV, PRE-PROD, PROD)
• Monitoring & Optimisation: Cost analysis of clusters, performance tuning, and job concurrency management Desirable Experience Working knowledge of Control-M for orchestrating Databricks jobs
• Familiarity with Power BI integration and semantic modelling Exposure to geospatial or time-series data processing using Databricks Basic knowledge of data modelling

Share your resume at if you are early or immediate joiner.

Core Responsibilities-

Seasoned Databricks developer having 6+ years of experience is expected to design, build, and maintain scalable data pipelines and workflows using Azure Databricks. This includes:

• Developing ETL pipelines using Python, SQL, and Delta Live Tables
• Managing job execution through Databricks Jobs, including scheduling and parameterisation
• Implementing data transformation using built-in Databricks features Collaborating with data architects and analysts to ensure data models align with business needs
• Implementing security and governance using features like encryption, access control and data lineage tracking Data performance management using built-in Databricks features (i.e. concurrency for better query execution) Must be an expert in writing complex SQL queries.

Technical Skills

The following technical proficiencies are commonly required:

• Languages: Python, SQL Databricks
• Features: Delta Lake, Delta Live Tables, MLflow, Databricks Jobs, Secrets Management, encryption access control etc.
• Azure Integration: Azure Key Vault, Azure Functions, Azure Data Lake, Azure DevOps
• Deployment Pipelines: Experience with CI/CD for Databricks and integration with Snowflake schemas (DEV, PRE-PROD, PROD)
• Monitoring & Optimisation: Cost analysis of clusters, performance tuning, and job concurrency management Desirable Experience Working knowledge of Control-M for orchestrating Databricks jobs
• Familiarity with Power BI integration and semantic modelling Exposure to geospatial or time-series data processing using Databricks Basic knowledge of data modelling

Share your resume at if you are early or immediate joiner.