Azure Databricks Data Engineer_TC2_T Mob
About The Position
The Technology Consultant 2 will contribute to software and data solution delivery across the software development lifecycle, from requirements gathering and design through coding, testing, deployment, and production support. The role focuses on designing, developing, and optimizing enterprise-scale data pipelines using Azure Databricks, Azure SQL, Python, and SQL, while supporting data engineering, data warehousing, ETL/ELT, and business intelligence initiatives. The position involves documenting requirements and design decisions, integrating new features into existing applications, conducting code reviews, maintaining repositories, implementing test strategies, coordinating fixes, and supporting production systems. The consultant also develops user training and documentation, records technical and support activities, and works with technical teams and business stakeholders to deliver reliable data solutions.
Requirements
- 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, and Azure DevOps.
- Strong understanding of enterprise data pipelines, data migration, dimensional modeling, and analytical data processing.
- Experience modernizing legacy ETL applications and migrating 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.
- Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
- Authorized to work in the United States for any employer without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role.
- Position may require relocation and/or travel to the work or project location.
Nice To Haves
- 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.
Responsibilities
- Document assigned portions of business requirements as part of requirements elicitation.
- Facilitate software application design discussions and document design decisions.
- Participate in coding and integrate features or updates into existing applications while maintaining system stability.
- Conduct code reviews, make changes to the codebase, and maintain code repositories.
- Implement test strategies, analyze results, and coordinate bug fixes.
- Develop user training programs, documentation, and support frameworks for software transitions.
- Resolve production issues and recommend preventive strategies to improve system reliability.
- Maintain records of code, testing techniques, and support activities.
- Handle end-to-end SDLC phases, from requirements gathering through implementation.
- Translate complex requirements into actionable development tasks.
- Work with cross-functional teams and perform software integration.
- Design, develop, and optimize enterprise-scale data pipelines using Azure Databricks, Azure SQL, Python, and SQL.
- Develop production-grade data solutions with automated validation and monitoring.
- Modernize legacy ETL applications and move data workloads to Azure.
Benefits
- Medical, dental, vision, and life insurance
- Long-term and short-term disability insurance
- Health and dependent care reimbursement accounts
- Accident, critical illness, hospital indemnity, and legal insurance
- 401(k) plan and contributions dependent on salary level
- Paid holidays and paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
