Manager Data Engineering at LinkedIn

Short Description:

LinkedIn is seeking a seasoned professional to join their dynamic team, driving large-scale strategic projects and managing high-performing data science and data engineering teams. The role involves analyzing extensive data sets, implementing machine learning solutions, and collaborating with technology partners to develop scalable tools. As a strategic thought partner, the candidate will work closely with senior leaders, contributing to long-term roadmaps and advocating for data-driven decision-making. The position offers a hybrid work arrangement and requires strong leadership, excellent communication skills, and proficiency in data manipulation and analytics. LinkedIn is committed to diversity and is an equal opportunity employer, fostering an inclusive workplace.

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Position: Manager, Data Engineering

Company: LinkedIn

Location: Bengaluru, Karnataka, India 

Job type: Full time / Hybrid

About job:

LinkedIn was established with the purpose of assisting professionals in advancing their careers, and every day, millions of individuals utilize our tools to connect, uncover opportunities, and gain valuable insights. Our impact on the global workforce is unparalleled, extending beyond being a mere digital resume; we strive to transform lives through innovative products and technology.

Fostering economic opportunities for every member of the global workforce is a shared responsibility that we all embrace. To truly revolutionize the global economy, we must adapt our hiring practices and empower our talent to serve individuals from diverse backgrounds and experiences. LinkedIn is dedicated to fostering diversity within its workforce and takes pride in being an equal opportunity employer.

At LinkedIn, we entrust our team members to deliver their best work in environments that suit them and their teams. This position offers a hybrid work arrangement, allowing you to work both remotely and at a LinkedIn office, depending on your preferences and the team's needs for collaboration.

Responsibilities:

• Collaborate with cross-functional teams to initiate, lead, and successfully conclude large-scale and complex strategic projects for teams, departments, and the organization.
• Lead and oversee a team of high-performing professionals in data science and data engineering, collaborating with cross-functional teams to design, develop, and manage fundamental data foundations, executive metrics, methodologies, automated dashboards, and data visualizations to track and extract valuable business insights.
• Analyze extensive structured and unstructured data, creating in-depth analyses and machine learning solutions to enhance member value and customer success.
• Collaborate with technology partners to build, prototype, and validate scalable end-to-end tools and applications (backend, frontend, data) for transforming data into actionable insights.
• Serve as a strategic thought partner to senior leaders and executives, contributing to long-term roadmaps and strategies, prioritizing and scoping projects, providing recommendations, and advocating for data-driven business decisions aligned with strategic goals.
• Offer technical guidance and mentorship to junior data scientists on analysis design, and lead code and design reviews.
• Innovate across the organization, implementing advanced research, machine learning, experimentation, causal inference, data engineering, and statistical modeling practices to achieve significant business impact.

Basic Qualifications:

• BS/BA in Computer Science or related technical discipline.
• 8+ years of industry experience.
• 2+ years of experience managing Data Science/Data Engineering teams.

Preferred Qualifications:

• 10+ years of relevant work experience.
• Demonstrated leadership with a track record of building high-performing Data Science and Data Engineering teams, driving projects, applying strategic thinking, building thought leadership, and influencing senior leaders and executives.
• Proven ability to collaborate with peers in engineering and product management across teams to set technical and product direction.
• Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to diverse audiences, including executives.
• Experience with handling massive-scale structured and unstructured data.
• Proficiency in SQL and at least one programming language (e.g., R, Python, Scala).
• Experience influencing strategy through data-centric presentations.

Suggested Skills:

• Large-Scale Systems
• Relational Databases
• ETL
• Data Manipulation

Please click here to apply.