Azure Databricks Engineer

Infosys•Ann Arbor, MI

4d•Hybrid

About The Position

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: * 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 Your contribution to the team: * 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. Overview 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.

Requirements

Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python)
Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab)
Experience designing, building, and optimizing scalable data pipelines using Azure Databricks
Experience performing data ingestion, transformation, and processing for enterprise data platforms
Experience collaborating with onsite stakeholders and cross-functional teams to gather requirements and deliver solutions
Experience applying core data engineering principles (ETL/ELT, distributed processing, data governance)
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.

Responsibilities

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
Handle end to end SDLC phases from requirement gathering to implementation
Translate complex requirements into actionable development tasks
Perform design and hands-on coding
Test, troubleshoot, and refine applications
Work with cross-functional teams and do software integration
Design, build, and optimize scalable data pipelines using Azure Databricks
Perform data ingestion, transformation, and processing for enterprise data platforms
Collaborate with onsite stakeholders and cross-functional teams to gather requirements and deliver solutions
Apply core data engineering principles (ETL/ELT, distributed processing, data governance)