Data Engineering - Platform | Bengaluru, India

Degreed is the upskilling platform that fuels growth and innovation through lifelong learning. We bring together everything you need to learn and advance—LMSs, courses, videos, articles, projects, and real-world skill insights—and match you with opportunities that align with your skills, role, and goals.

For businesses, Degreed helps build a culture of learning that attracts, develops, and retains top talent—driving both individual and company success.

We believe learning is the key to unlocking opportunities. Our mission is to discover, empower, and celebrate the next generation of global expertise.

Join us in shaping the future of learning and workforce development.

Working at Degreed
At Degreed, we believe that learning is the key to unlocking opportunities. As the premier upskilling platform, we empower individuals to connect their skills and ambitions with meaningful growth opportunities. By integrating everything people use to learn—skill insights, courses, videos, articles, and projects—we create personalized pathways for career advancement. Our mission is to discover, empower, and celebrate the next generation of global expertise. Join us in shaping the future of learning and workforce development.


Your future team

Our Data Engineering team tackles complex data challenges at scale, building the foundation for data-driven innovation of the Degreed Platform. You will have the opportunity to:

• Develop Pipelines, Data Models and Data Solutions for  Reporting and Analytics in close collaboration for Product Teams 
• Architect platforms and Enable Data Science Teams 
• Ensure high quality Data within the DE scape for all data producers and consumers 
• Participate in securing and governing Data in the Organization

Responsibilities:

As a Data Engineer, you will play a crucial role in building and maintaining the data infrastructure that fuels product innovation. Your contributions will span the entire data lifecycle, including:

• Metric Definition and Instrumentation: Collaborate with product and engineering teams to define key performance indicators (KPIs) and implement robust logging and instrumentation strategies
• Data Acquisition and Ingestion: Design and implement scalable data ingestion pipelines from diverse sources
• Data Architecture and Modeling: Develop and maintain efficient and scalable data models (e.g., star schema, data vault) within data warehouses (Snowflake, Redshift, Clickhouse etc.,) and architecting and maintaining data lakes (Azure) 
• Data Transformation and Processing: Implement complex data transformations using Python with DBT on multiple Data Sources and Targets 
• Data Quality, Governance, and Enablement: Establish and enforce data quality standards, implement data governance policies, and develop data documentation to ensure data accuracy, consistency, and reliability. Enable self-service analytics by providing clear documentation and training to stakeholders.
• Alerting, Visualization, and Reporting: Develop automated alerting systems to monitor data quality and identify anomalies. Create interactive dashboards and reports using visualization tools like Gooddata 
• Performance Optimization and Scalability: Continuously optimize data pipelines and infrastructure for performance, scalability, and cost-efficiency, leveraging cloud-native technologies and best practices.
• Collaboration and Leadership: Work autonomously and collaboratively within a cross-functional team, contributing technical expertise and driving data-driven decision-making. Lead technical projects, mentor junior team members (if applicable), and contribute to the team's technical roadmap.

Qualifications (Add specific qualifications based on the role's seniority):

• Bachelor's/Master's degree in Computer Science, Data Science, or a related field
• 7+ years of experience in data engineering 
• Experience in Data Modelling for complex business models
• Technical hands on with Python and SQL (DBT and Snowflake or other comparable warehouse like Redshift/Bigquery/Clickhouse) 
• Experience with one or more Clouds (AWS, Azure, GCP) 
• Good experience with Data Lakes and best practices involved in Data Lake architecture
• Strong understanding of data governance principles and best practices.
• Excellent analytical, problem-solving, and communication skills.

Benefits

We take care of our people with a comprehensive benefits package designed to support your well-being, growth, and success.

View the full details here: https://px.sequoia.com/globalcompanybenefits

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At Degree, We Value

🌍 Diversity & Inclusion – We celebrate diverse perspectives and backgrounds, fostering an inclusive environment where everyone can thrive and contribute.

📈 Growth Mindset – Learning is at the heart of what we do. We empower our employees to continuously develop their skills and grow their careers in alignment with their unique strengths and aspirations.

🤝 Collaboration – The best ideas come from working together. We cultivate a culture of open communication, teamwork, and shared success.

By joining Degreed, you’ll be part of a community that values learning, collaboration, and meaningful impact. If you’re passionate about driving change through upskilling and workforce transformation, we encourage you to apply and contribute to our mission.

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Work Environment & Physical Demands

Degreed offers flexible work arrangements tailored to each role. Some positions are fully remote, while others follow a hybrid model for employees near an office. Please check the job details for role-specific requirements.

For remote and hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. This role may require prolonged computer use and stationary work, with the ability to interpret written and verbal communication effectively.

We are committed to creating an inclusive and adaptable work environment that enables every team member to thrive and do their best work.

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Additional Information

Degreed is an equal opportunity employer committed to fostering a workplace free from discrimination and harassment. We do not discriminate based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all aspects of employment, including recruitment, hiring, career development, compensation, and training.

💡 Accessibility & Accommodations

We are dedicated to full inclusion and will provide reasonable accommodations for applicants with disabilities throughout the hiring process. If you need assistance, please let us know.

🔍 Fair Hiring Practices

In compliance with the San Francisco Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records.

📄 E-Verify Participation

Degreed participates in the E-Verify employment verification program.

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Global Data Privacy Notice for Job Candidates & Applicants

If you are applying from certain locations, your data may be processed in accordance with regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

For more details on how we process applicant data, please review our Global Data Privacy Notice for:

https://explore.degreed.com/privacy/

https://degreed.zendesk.com/hc/en-us/articles/4409131149458-General-Data-Protection-Regulation-GDPR-Degreed-Update

By submitting your application, you acknowledge and agree to our use and processing of your data in compliance with applicable laws.

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Fraudulent Recruitment Warning 🚨

Beware of fraudulent recruitment scams using the Degreed name. Scammers may impersonate our company, website, or hiring team.

⚠️ Degreed will never:

❌ Conduct recruitment via WhatsApp, Telegram, or direct-messaging platforms.

❌ Request sensitive personal or financial information in unsolicited communications.

❌ Offer jobs requiring upfront payments or promising unrealistic returns.

✅ Official Degreed communications will always come from a @degreed.com email address or phone number during the hiring process.

If you encounter suspicious activity, please report it immediately. Stay vigilant and protect yourself from fraud.