Senior Data Engineer | Bengaluru, IN

Back to jobs New Senior Data Engineer | Bengaluru, IN Bengaluru, Karnataka, India | Hybrid Apply 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, matching 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!   At Degreed, we help organizations build and measure the skills that power their future. As our data volume and platform complexity continue to grow, we are investing in scalable, high-performance data architecture to support long-term product innovation and business expansion. This role exists to move us beyond maintenance and into the next phase of data platform evolution. As a Senior Data Engineer, you will design and optimize the core data layer that enables internal teams and clients to access reliable, performant, and trusted data at scale. We are seeking candidates with 5  to 10 years of relevant experience in data engineering, demonstrating strong ownership of data platform components and the ability to operate in complex, high-scale environments. Key Skills Advanced proficiency in Snowflake and SQL, demonstrated by designing performant queries, optimizing warehouse usage, and improving cost efficiency across large-scale datasets Strong experience with dbt and dimensional data modeling, including building modular, scalable models and enforcing testing and documentation standards Proven experience building and orchestrating data pipelines using tools such as Airflow, Meltano, or similar orchestration frameworks in production environments Experience working with infrastructure-as-code and containerized environments, such as Kubernetes and Terraform, supporting reliable and reproducible data platform deployments Demonstrated ability to design data architectures that scale with increasing data volume and concurrency, reducing bottlenecks and improving system reliability Experience leading or contributing to complex data engineering projects, managing tasks through tools such as Jira and Confluence, and delivering against defined milestones Proven experience mentoring data engineers, conducting code reviews, and elevating team standards through shared best practices Experience operating in environments with production support responsibilities, including on-call rotations and incident resolution processes Ability to collaborate cross-functionally with analytics, product, engineering, and business stakeholders to translate data requirements into robust technical solutions Ability to leverage AI tools and technologies relevant to data engineering workflows, such as AI-assisted query optimization, pipeline monitoring, documentation generation, or anomaly detection Key Responsibilities Design and build a scalable, high-performance data layer used across internal teams and external client-facing use cases Optimize and refactor existing data models in Snowflake to improve efficiency, maintainability, and performance Develop and maintain reliable, production-grade data pipelines that ensure accuracy, timeliness, and consistency of business-critical data Implement infrastructure and orchestration improvements that strengthen platform stability, scalability, and observability Collaborate with analytics and product teams to define data requirements and translate them into scalable data solutions Conduct code reviews and mentor team members to elevate engineering standards and promote best practices Participate in on-call rotations and incident response processes to maintain 24/7 data platform reliability Contribute to architectural decisions and long-term roadmap planning to ensure the data platform supports future business growth Compensation We are committed to fair and equitable compensation practices. 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, specific work location, and internal equity.   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 At Degreed, 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. 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 . 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 . Global Data Privacy Notice for Job Candidates & Applicants If you’re applying from specific regions, your personal data may be processed in line with applicable privacy laws, including the  General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) . To understand how we handle applicant data, please review our Global Data Privacy Notice and related policies: •   Global Privacy Notice •   DPR Compliance Details By submitting your application, you acknowledge and agree to our  use and processing of your data in compliance with applicable laws. 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. Create a Job Alert Interested in building your career at Degreed? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with MyGreenhouse First Name * Last Name * Preferred First Name Email * Phone Country Phone Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile URL * Technical Portfolio URL Are you open to working from our Bengaluru office on a hybrid model? * Select... What is your expected total annual compensation? * Country of residence * Select... We are only considering applicants who currently reside in the location where this position is based. State of residence * Please type the full state name. City of residence * Please type the full city name. Are you legally authorized to work in the country where this job is based? * Select... Please refer to the location specified for the country where this job is located. 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Have you written and optimized complex SQL queries on large-scale datasets? * Select... Do you have hands-on experience using dbt for data modeling and transformations? * Select... Have you built and maintained data pipelines using orchestration tools like Airflow, Meltano, or similar? * Select... Do you have experience working with Kubernetes and/or Terraform in a data platform environment? * Select... Have you designed or contributed to scalable data architectures handling large data volumes? * Select... Submit application