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 - Full Stack based in India.
This is a hands-on opportunity to build end-to-end, production-grade data products that turn complex business needs into actionable solutions.
You will work across data engineering, software development, analytics, and cloud technologies, taking ownership from stakeholder discovery through production operations.
The role focuses heavily on Databricks, modern data pipelines, streaming architectures, APIs, and scalable data models.
You will partner directly with business and technical stakeholders to clarify ambiguous problems, prototype ideas, and deliver secure, reliable solutions.
Your work will support analytics, AI/ML, reporting, and operational decision-making through trusted and governed data.
You will also contribute to engineering standards, technical design, code reviews, and mentoring in a collaborative, remote setting.
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Accountabilities:




Partner with business and technical stakeholders to understand workflows, clarify objectives, translate ambiguous requirements into technical solutions, and establish delivery plans.
Design, develop, and maintain end-to-end data products using Databricks, Delta Lake, SQL, Python, PySpark, and related technologies.
Build reliable batch, incremental, streaming, and near-real-time data pipelines using Kafka and comparable event-streaming technologies.
Design event-driven architectures and integrate operational systems with downstream data consumers.
Develop backend services, REST APIs, and integrations that expose governed data to applications and operational workflows.
Build lightweight applications, dashboards, and user interfaces in collaboration with product, analytics, BI, and UX teams.
Rapidly prototype solutions, validate concepts with stakeholders, and transition successful prototypes into scalable production capabilities.
Create scal

📌 Senior Data Engineer (India)
🏢 Jobgether
📍 India