Azure Databricks Data Engineer

Technology|Cloud Platform|Azure Core services

Technical Skills 2

Salary min

80127

Salary max

117128

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success.

Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment.

If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands-on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.

• Extensive experience in data engineering, data warehousing, ETL/ELT development, or business intelligence.
• Strong hands-on experience with:
  
  Azure Databricks, Azure SQL, Azure Synapse Analytics or Azure Data Warehouse, Python, SQL and T-SQL, Azure Dev Ops
• Strong understanding of enterprise data pipelines, data migration, dimensional modeling, and analytical data processing.
• Experience modernizing legacy ETL applications and moving data workloads to Azure.
• Strong SQL performance-tuning and troubleshooting capabilities.
• Experience developing production-grade data solutions with automated validation and monitoring.
• Experience working with SQL Server and Teradata environments.
• Familiarity with Power BI and enterprise reporting ecosystems.
• Strong understanding of Agile, Scrum, CI/CD, code reviews, deployment, and production-support practices.
• Ability to work effectively with technical teams and business stakeholders.
• Design, develop, and optimize enterprise-scale data pipelines using Azure Databricks, Azure SQL, Python, and SQL.

• Experience supporting large-scale telecom, customer care, retail, or operational analytics platforms.
• Experience developing KPI, incentive, performance-management, or executive-reporting solutions.
• Knowledge of Microsoft enterprise data and business intelligence technologies.
• Experience leading technical design discussions and mentoring data engineering team members.
• Experience managing data solutions through requirements, architecture, development, testing, deployment, and production support.
• Certification or formal training in Azure, Databricks, data engineering, Scrum, or dimensional data modeling.

• Bachelor's degree or foreign equivalent required from an accredited…