This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in India.
This role offers the opportunity to design and deliver end-to-end cloud data solutions for global enterprise clients, working at the intersection of engineering, architecture, and analytics. You will be responsible for building scalable, secure, and high-performance data pipelines across modern cloud platforms. The position involves close collaboration with client stakeholders, engineers, and architects to translate complex business needs into robust technical solutions. You will contribute to production-grade systems while ensuring quality, reliability, and long-term maintainability. Operating in a remote-first, globally distributed environment, you will engage with teams across multiple time zones. This is a highly hands-on role suited for engineers who enjoy solving complex data challenges while working in consulting-style engagements with measurable business impact.
Accountabilities:
- Own the design, development, and deployment of end-to-end cloud data pipelines and solutions for enterprise clients
- Translate business requirements into scalable data architectures, integration patterns, and data models aligned with best practices
- Ensure performance, security, scalability, and reliability of data solutions in production environments
- Collaborate with data engineering, analytics, and platform teams to deliver successful client engagements
- Provide technical leadership in design reviews, proof-of-concepts, and implementation workshops
- Produce high-quality technical documentation, including architectures, workflows, and operational runbooks
- Contribute to accelerators, reusable frameworks, and internal best practices for cloud data platforms
- Engage with stakeholders to ensure timely delivery and measurable business value
Requirements:
- 4+ years of experience in Data Engineering or Software Engineering delivering production-grade data solutions
- Strong programming skills in Python and/or Scala for data processing and automation
- Hands-on experience with cloud data platforms such as Snowflake, AWS, Azure, GCP, or Databricks
- Strong SQL expertise, including query optimization and complex data manipulation
- Experience working in client-facing or consulting environments with end-to-end project ownership
- Strong understanding of distributed data systems, pipelines, and modern data architectures
- Ability to create technical documentation, presentations, and solution designs for stakeholders
- Excellent communication skills in English with strong stakeholder management ability
- Proven ability to manage multiple priorities in fast-paced, distributed teams
Benefits:
- Remote-first work environment with global collaboration opportunities
- Competitive compensation aligned with experience
- Health insurance coverage for self, family, and parents (where applicable)
- Wellness allowance and broadband reimbursement
- Paid certifications and continuous learning support
- Professional development programs and growth opportunities
- Exposure to global enterprise clients and cutting-edge cloud data projects