We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.
AboutPosition:
We are seeking an experienced Azure Data Migration Engineer to join our Data & Analytics team. The ideal candidate will be responsible for designing, developing, and supporting enterprise-scale data migration solutions using Azure Data Factory, Azure SQL Database, SQL Server, and Azure Synapse Analytics. The role involves building scalable data ingestion frameworks, ETL pipelines, validation processes, reconciliation mechanisms, and reporting solutions to support complex data migration initiatives. The successful candidate will work closely with business stakeholders, architects, data analysts, and technical teams to ensure successful migration and transformation of enterprise data assets.
- Location: All Persistent Locations
- Experience: Between 5 to 8 Years
- Job Type: Full Time Employment
WhatYou'llDo:
- Design and develop end-to-end data migration solutions using Azure data services.
- Build and manage data ingestion pipelines using Azure Data Factory (ADF).
- Develop ETL/ELT processes for data extraction, transformation, cleansing, and loading.
- Design and implement scalable data processing solutions using Azure Synapse Analytics.
- Develop and optimize SQL scripts, stored procedures, and database objects within Azure SQL Database and SQL Server environments.
- Create data transformation and enrichment processes to support business requirements.
- Perform data validation, reconciliation, and quality assurance activities throughout migration projects.
- Analyze source and target systems to define migration strategies and mapping requirements.
- Develop migration reports, dashboards, and status tracking solutions.
- Support large-scale data processing workloads using Synapse Pipelines and Spark technologies.
- Monitor data migration execution and troubleshoot issues during migration cycles.
- Perform performance tuning and optimization for ETL pipelines, databases, and analytics workloads.
- Collaborate with architects and business teams to understand data requirements and migration objectives.
- Participate in technical design reviews, testing activities, and deployment planning.
- Create technical documentation, migration runbooks, and operational procedures.
- Ensure compliance with data governance, security, and quality standards.
ExpertiseYou'llBring:
- 5 to 8 years of experience in Data Engineering, ETL Development, or Data Migration projects.
- Experience designing and developing enterprise-grade ETL and ELT solutions.
- Strong proficiency in Azure SQL Database and Microsoft SQL Server.
- Hands-on experience with Azure Synapse Analytics, including Synapse Pipelines and Spark.
- Proven experience in large-scale data migration and modernization projects.
- Strong understanding of data integration, transformation, and orchestration concepts.
- Experience performing data validation, reconciliation, and quality assurance activities.
- Expertise in SQL query development, performance tuning, and database optimization.
- Knowledge of data warehousing concepts and dimensional data modeling.
- Experience troubleshooting complex data-related issues and implementing remediation solutions.
- Strong analytical and problem-solving skills.
- Experience working with structured and semi-structured data sources.
- Ability to work effectively with business users and technical stakeholders.
- Experience working in Agile development environments.
- Strong communication, documentation, and collaboration skills.
- 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
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.
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."