Senior Data Engineer in India at Jobgether

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 scale advanced data platforms that power critical business decisions and machine learning initiatives. You will build reliable, high-performance data systems connecting product usage, customer insights, and revenue intelligence. Working across engineering, data science, and business teams, you will transform complex data sources into trusted, actionable solutions. The position requires strong technical expertise in distributed systems, data architecture, and modern data engineering practices. You will have ownership over foundational platforms while driving improvements in scalability, reliability, and data quality. This is an impactful opportunity for an experienced engineer who enjoys solving complex challenges in a fast-moving technology environment.

As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining scalable data infrastructure that supports analytics, machine learning, and business growth. You will collaborate with cross-functional teams to create reliable data products, improve platform capabilities, and establish best practices for data operations.

• Design and build end-to-end data architectures that unify product telemetry, customer lifecycle information, and revenue metrics into reliable data sources.
• Develop and maintain scalable real-time and batch data pipelines integrating multiple systems, including product usage, CRM, and billing platforms.
• Create standardized telemetry frameworks, define event tracking contracts, and address identity resolution challenges across different platforms.
• Build data foundations for machine learning initiatives, including feature pipelines, training datasets, and low-latency scoring infrastructure.
• Implement data reliability, governance, and quality frameworks, including monitoring, incident response, privacy controls, and self-service data modeling practices.
• Optimize data workflows, improve system performance, and ensure highly available production environments.
• Partner with engineering, analytics, and business teams to deliver data solutions aligned with organizational goals.
• Leverage AI-assisted development tools and automation techniques to improve engineering efficiency and create reusable solutions.

The ideal candidate is an experienced data engineering professional with a strong background in distributed systems, large-scale data platforms, and production-grade infrastructure. You should have a passion for building reliable systems, solving complex technical problems, and enabling teams through high-quality data solutions.

• 8+ years of experience in Data Engineering, Distributed Systems, or related software engineering roles.
• Proven experience designing and operating large-scale data platforms in production environments with measurable business impact.
• Strong proficiency in Python and advanced SQL, with experience optimizing performance and reliability.
• Hands-on experience with modern data warehouses such as Snowflake or Databricks.
• Experience with workflow orchestration tools such as Airflow, Dagster, or similar platforms.
• Strong understanding of data modeling best practices, including dbt or equivalent transformation frameworks.
• Experience integrating diverse data sources, including telemetry, CRM, billing, and product analytics systems.
• Familiarity with streaming systems and product analytics platforms in SaaS or product-led environments.
• Experience supporting machine learning workflows through feature stores, training pipelines, or real-time inference infrastructure.
• Strong understanding of data quality, governance, monitoring, and operational excellence practices.
• Ability to collaborate effectively with engineering, data science, and business stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• Competitive compensation package aligned with experience and expertise.
• Remote work flexibility with a structured approach to collaboration.
• Opportunity to work on large-scale data platforms with significant business impact.
• Access to benefits supporting physical, mental, emotional, and financial well-being.
• Supportive workplace culture focused on collaboration, innovation, and continuous growth.
• Opportunities to expand technical skills and advance your career within a global technology environment.
• Ability to contribute to meaningful products that help people connect and collaborate worldwide.