LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.
Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.
The Talent Productivity Engineering team builds strong data foundations to enable a scalable, secure, intelligent, and automated data platform that empowers our agile talent workforce. As a Senior Software Engineer, you will work closely with our Infrastructure teams to design and develop scalable data platform solutions that enable our employees to do their best work. You will directly impact the LinkedIn data landscape across employee productivity, self-service, and candidate experience.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
Responsibilities:
•Work as part of a team to design and develop data & analytics platform solutions
•Implement Azure data services including Azure Data Lake, Azure Data Factory, Azure Analysis Services and Azure SQL Data Warehouse
•Design and develop scalable data ingestion frameworks to transform a wide variety of datasets
•Research, analyze, recommend, and select technical approaches for solving challenging and complex development and integration problems
•Ability to conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows
•Assist in designing multi-phased Azure data strategies, including designing multi-phased implementation roadmaps
•Supporting the strategy, planning, and implementation of AI & ML services, providing sizing and configuration assistance and performing needs assessments
•Work closely with Development and Infrastructure teams to automate, orchestrate and implement infrastructure as code through DevOps and CI/CD pipelines
•Serve as a subject matter expert in Azure analytics platforms for Talent Data Platform partners/stakeholders
•Ability to conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows
Basic Qualifications:
•BS in Computer Science or related field or equivalent technical experience
•5+ years writing code in Java/Python.
•4+ years designing/writing software and systems in a distributed environment.
•Experience with distributed systems/backend API’s
•Experience implementing Azure data services including Azure Data Lake, Azure Data Factory, Azure Analysis Services and Azure SQL Data Warehouse
Preferred Qualifications:
•5+ years designing/writing software and systems in a distributed environment.
•2+ years working with CI/CD tools such as Jenkins, Azure DevOps, or similar.
•Azure Synapse Analytics, Azure SQL, Azure EventHub/IoT Hub
•Data Modeling and Big Data Technologies such as Spark, Conclusion, or similar
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit http://careers. . /linkedin/India-LinkedIn-Equal-Opportunity-for-Persons-With-Disabilities-Policy-2018.
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd. /GlobalDataPrivacyNotice