Think Beyond The Label Jobs

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

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 is best for you and when it is important for your team to be together.

Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that help the company deliver on major business processes (go-to-market, sales, finance, and customer support etc.). We deliver applications and data products that support our external and internal customers, do business with us in a seamless way, help grow our top line, and increase our efficiency.

We are seeking a highly skilled, passionate, and experienced Staff Software Engineer to join our dynamic team engaged in building a finance data platform to enable data driven decisions across various finance flows. The ideal candidate will have a background in Azure Data Engineering, Azure Data Lake, Azure Databricks, MS Fabric Ecosystems and Oracle E-Business Suite (EBS). You will play a crucial role in designing, developing, and maintaining our Finance Data Platform, integrating with EBS and other upstream applications, ensuring seamless integration and optimal performance.

Key Responsibilities:

Architecture and Development:

Design, develop, and implement data engineering solutions using Azure Data Services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.).

Integrate with Oracle EBS modules, Get Paid (credit & collection), Workday, Salesforce and Dynamics ensuring alignment with business requirements.

Integrate Azure data solutions with Oracle EBS for efficient data flow and processing. Knowledge of Oracle Golden Gate and Streaming is a plus.

Data Management:

Create and manage ETL pipelines to extract, transform, and load data from various sources into Azure and Oracle EBS/upstream systems.

Ensure data quality, integrity, and consistency across all systems.

Optimize database performance and manage storage solutions.

Collaboration and Leadership:

Work closely with cross-functional teams, including business analysts, project managers, and other stakeholders, to gather requirements and deliver solutions.

Mentor and guide junior engineers, fostering a collaborative and innovative team environment.

Participate in code reviews and ensure the best practices are followed.

System Maintenance and Support:

Monitor and troubleshoot issues within the Azure data ecosystem

Provide ongoing support and maintenance for existing solutions.

Implement security best practices to protect sensitive data.

Continuous Improvement:

Stay updated with the latest industry trends and technologies in Azure Data Engineering and Oracle EBS.

Propose and implement improvements to current processes and systems.

Basic Qualifications:

Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.

7+ years of experience in software engineering with a focus on data engineering, Business Intelligence and SQL.

Experience with Azure Data Services and Oracle E-Business Suite modules (Financials, Supply Chain, HRMS, etc.).

Excellent craftsmanship skills across the SDLC including design, development, deployment, testing and observability.

Experience on visualization tools like Power BI/Tableau is a plus

Technical Skills:

Proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Azure services.

Experience in data engineering skills using SSIS and/or ADF.

Experience with data modeling and data governance skills

Experience with SQL skills and experience in analytics using Python is a plus

Near Real Time data engineering on a huge dataset is a plus.

Experience in Performance tuning to meet the SLAs is a must

Knowledge of Oracle EBS architecture is a plus

Experience with data warehousing, data lakes, and big data technologies.

Familiarity with programming languages such as Python, Java, or C#.

Excellent problem-solving and analytical skills.

Strong communication and interpersonal skills.

Ability to work independently and as part of a team.

Leadership skills with the ability to mentor and guide team members.

Preferred Qualifications:

Certifications in Azure Data Engineering and related Azure components

Experience with cloud migration projects.

Knowledge of DevOps best practices and tools.

Data Modeling

Experience on High Volume & Near Real time Data Ingestion

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.

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $144,000 to $235,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here:

https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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.in/GlobalDataPrivacyNotice

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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.in/GlobalDataPrivacyNotice