Azure Databricks Data Engineer_TC2_T Mob

Infosys • Bellevue, WA

1d

About The Position

As a Technology Consultant 2 in Infosys’s Data and Analytics unit, you will contribute to enterprise data engineering and analytics initiatives. The role includes eliciting and documenting business requirements, facilitating application design discussions, contributing to coding and software integration, reviewing code, maintaining repositories, implementing testing strategies, coordinating bug fixes, and supporting production applications. You will also develop user training and documentation, help resolve production issues, recommend preventive measures, and maintain records of code, testing, and support activities.

The position focuses on designing, developing, and optimizing enterprise-scale data pipelines using Azure Databricks, Azure SQL, Python, and SQL. Work may span requirements, architecture, development, testing, deployment, and production support, including modernizing legacy ETL applications and moving workloads to Azure. The role calls for collaboration with technical teams and business stakeholders and may require relocation and/or travel to the work or project location.

Infosys’s Data and Analytics unit works with AI and analytics to develop solutions for business challenges and support data-driven decision-making. The job posting describes opportunities to work with current technologies and industry experts in a culture focused on continuous learning and growth.

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 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.
• Bachelor’s degree or foreign equivalent from an accredited institution; the employer will also consider three years of progressive specialty experience in lieu of each year of education.
• Must be authorized to work in the United States for any employer without employer-based visa sponsorship; Infosys states it cannot provide immigration sponsorship now or in the future.

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 new features or updates into existing applications while maintaining system stability.
• Conduct code reviews, make codebase changes, and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes to uphold software quality standards.
• Develop user training programs, documentation, and support frameworks for transitions to new software applications.
• Participate in resolving production issues and recommend preventive strategies to improve system reliability.
• Maintain records of code, testing techniques, and support activities.
• Design, develop, and optimize enterprise-scale data pipelines using Azure Databricks, Azure SQL, Python, and SQL.
• Modernize legacy ETL applications and move data workloads to Azure.
• Develop production-grade data solutions with automated validation and monitoring.
• Work with technical teams and business stakeholders across software and data solution lifecycles.

Benefits

• Medical, dental, vision, and life insurance.
• Long-term and short-term disability coverage.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level