Databricks Data Operation

Infosys•Philadelphia, PA

2d•Onsite

About The Position

Infosys is a global leader in next-generation digital services and consulting, enabling clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, Infosys expertly steers clients through their digital journey by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. They also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Their always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from their innovation ecosystem. The Infosys Healthcare unit is dedicated to transforming the healthcare industry by leveraging cutting-edge AI-driven solutions to simplify complexities and enhance patient experiences. They focus on creating connected ecosystems, optimizing operations, and delivering superior care across all touchpoints. Joining this team means being part of the forefront of healthcare innovation, driving down costs while improving patient outcomes.

Requirements

Azure Data Factory (ADF) pipelines, triggers, integration runtime / SHIR dependencies (as applicable)
Databricks jobs/workflows (cluster usage patterns, job failures, notebook execution issues, library/secret-related failures)
ADLS data availability, folder/file arrival patterns, permissions/ACL-related access failures (in collaboration with platform team where required)
Bachelor’s degree or foreign equivalent required from an accredited institution
Three years of progressive experience in the specialty in lieu of every year of education

Nice To Haves

Execute operational data validation and reconciliation checks (row counts, completeness, duplicates, timeliness, schema drift, threshold breaches)
Log, track, and support resolution of DQ issues via defined processes; partner with DG/DQ teams (e.g., Collibra/Informatica) where rule ownership and stewardship workflows exist
Maintain “data trust” by ensuring incidents are not closed without confirming data correctness and downstream readiness (where applicable)

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
Proactively approach testing, troubleshooting, and refining applications
Work with cross-functional teams and do software integration