7 Azure Data Jobs

About Position: We are looking for a seasoned Azure Data Engineer with strong expertise in Python programming and cloud-based data solutions. The ideal candidate will have hands-on experience in designing, building, and maintaining scalable data pipelines and analytics solutions. Role: Azure Data Engineer Location: All PSL Locations Experience: 5+ years Job Type: Full Time Employment What You'll Do: Design and develop ETL/ELT pipelines using Azure Data Factory, Databricks, and other Azure services. Build and maintain data lakes, data warehouses, and real-time data streaming solutions. Write efficient and reusable Python scripts for data transformation, automation, and orchestration. Optimize and manage SQL queries and database performance across Azure SQL, Synapse, and other platforms. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights. Implement CI/CD pipelines for data workflows and ensure robust data governance and security. Monitor and troubleshoot data pipelines and ensure high availability and reliability. Expertise You'll Bring: Minimum 5 years of experience in data engineering or related roles. Strong hands-on experience with Azure services: Data Factory, Databricks, etc. Proficiency in Python for data processing and automation. Solid understanding of SQL and relational/non-relational databases. Excellent problem-solving and communication skills. 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 "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Plan, execute, and validate online and offline data migration strategies for enterprise-scale databases.Utilize tools such as Azure DMS, AWS DMS, and SQL Server Integration Services (SSIS) to manage end-to-end migration lifecycle. 3. Automate database schema deployment and ensure consistency across dev, test, and production environments.Assess and handle large database sizes, ensuring minimal downtime and data integrity.Configure, manage, and monitor Azure SQL Databases using vCore/DTU models. Skills Azure data, data migration, Azure DMS, AWS DMS, and SQL Server Integration Services (SSIS), Good to have AWS RDS, AWS DynamoDB

Experience in using SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, or Oracle in production environments. Experience with Python, ADF,Azure,Data Ricks. Experience working of Microsoft Azure/AWS or other leading cloud platforms Required Candidate profile Hands-on experience with Hadoop, Spark, Hive, or similar frameworks. Data Integration & ETL Data Modelling Database management Data warehousing Big-data framework CI/CD Perks and benefits To be disclosed post interview

About the Role: Data warehousing engineer with technical expertise, capable of collaborating with the team to create a Data Platform Strategy and implement the solution. What youll do: Participate in design and implementation of technical processes to acquire and load data into the Data Analytics Platform Participate in the end-to-end delivery of solutions from gathering requirements, to implementation, testing, and continuous improvement post roll out using Agile Scrum methodologies. What youll need: 4-6 years of experience in database development and maintenance in a large data warehouse environment, and in an Agile Scrum environment. Must Have: Bachelors degree in computer science or information systems, or equivalent experience in the field of software development Strong experience with SQL (Azure Synapse Dedicated Pool preferred) is required, and familiarity with Databricks, Spark SQL, and Python SQL query optimization Power BI Dataset optimization Nice to Have: Entity-Relationship (ER) modeling techniques Excellent organizational and analytical skills with attention to detail as well as the ability to see the big picture. Knowledge of project tracking software like Jira Strong ability to understand client expectations and to resolve issues that may affect delivery. Good interpersonal skills with the ability to work effectively in a matrixed organization. Experience working with a distributed team. Who you are: Effective time management skills and ability to meet deadlines. Delivering project work on-time within budget with high quality. Excellent communications skills interacting with technical and business audiences. Excellent organization, multitasking, and prioritization skills. Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Dont meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services. Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. AI Engineer Role & responsibilities Preferred candidate profile

Role: Azure Data Engineer Senior / Lead Location: Indore / Ahmedabad / Hyderabad Experience: 5 to 10+ Years Qualification: B.Tech / MCA / BCA / B.Sc (Computer Science or related field) Notice Period: Immediate Joiners Preferred We Have an Immediate Requirement For Azure Data Engineers at Senior and Lead levels to work on cutting-edge data projects in Azure ecosystem. Primary Skills: Azure Data Factory (ADF) Azure Databricks SQL Development & Optimization Power BI Reports, Dashboards, DAX Data Integration & ETL Pipelines Data Modeling and Transformation Secondary Skills: Azure Synapse Analytics Python / PySpark in Databricks DevOps exposure for data pipelines Version control using Git Exposure to Agile & CI/CD Environments Strong communication and client-handling skills Key Responsibilities: Design and implement data pipelines using ADF and Databricks Transform and process large-scale datasets efficiently Develop interactive reports and dashboards in Power BI Write and optimize SQL queries and stored procedures Work closely with architects and business teams to deliver high-quality data solutions Lead and mentor junior data engineers in best practices

Qualification: B.Tech / MCA / BCA / B.Sc (Computer Science or related field) Notice Period: Immediate Joiners Preferred We Have an Immediate Requirement For Azure Data Engineers at Senior and Lead levels to work on cutting-edge data projects in Azure ecosystem. Primary Skills: Azure Data Factory (ADF) Azure Databricks SQL Development & Optimization Power BI Reports, Dashboards, DAX Data Integration & ETL Pipelines Data Modeling and Transformation Secondary Skills: Azure Synapse Analytics Python / PySpark in Databricks DevOps exposure for data pipelines Version control using Git Exposure to Agile & CI/CD Environments Strong communication and client-handling skills Key Responsibilities: Design and implement data pipelines using ADF and Databricks Transform and process large-scale datasets efficiently Develop interactive reports and dashboards in Power BI Write and optimize SQL queries and stored procedures Work closely with architects and business teams to deliver high-quality data solutions Lead and mentor junior data engineers in best practices