Senior Azure Data Engineer

1 month ago

pune, India Persistent Systems Full time
About Position
As a Senior Azure Data Engineer, you'll be responsible for designing and implementing scalable data storage solutions, integrating data from various sources using tools like Azure Data Factory, and ensuring optimal performance and security compliance within Microsoft Azure environments. Your role will also involve tuning data systems, managing data access and security, and leveraging advanced analytics capabilities to drive insights and business value.
Role: Senior Azure Data Engineer
Location : All PSL Locations
Experience : 6-9years
Job Type : FTE
What You'll Do
Strong experience developing data solutions using Azure Data services including ADF, ADLS, Azure SQL, Azure Databricks, Azure Data Lake, AAS, Azure Storage, Power BI, ABS, Synapse, and other services within the Azure data framework
Lead workshops with many teams to define data ingestion, validation, mining, engineering, modelling, visualization, AI, and analytics.
Strong understanding on Azure data services security practices
Develop architectural solutions/designs to project execution teams for implementation.
Experience with on-prem Microsoft technologies like SQL Server, SSIS, SSAS is a plus.
Own and aggressively drive forward specific areas of Azure technology development & architecture.
Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect, and deliver complex projects.
Determine Project and solution estimation and participate/recommend team structure definition.
Participate in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates.
Support multiple Agile Scrum teams with planning, scoping, and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
Provide end to end vision and hands on experience with Azure Cloud Platform
Expertise You'll Bring
8-12 years’ experience in one of the deep technical specializations in SQL DW, Azure Data Factory & Azure Databricks.
Strong Hand-on experience in Azure Data Factory, Azure DevOps CI/CD, Azure Logic Apps flow, Azure Data Lake, Azure Synapse, Azure Databricks, PySpark, GitHub.
Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise on batch and Realtime data integration.
Design and Develop Data Processing
Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools.
Experience in programming using Scala or Python
Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
Hands-on experience on the Application migration from on premises to Azure cloud
Azure Professional Data Engineering Certification
Bachelors’ or Maters’ Degree in computer science
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
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.”

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