Sr. Data Engineer - Data Analytics in India at Jobgether
Explore Related Opportunities
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Engineer - Data Analytics based in India.
This role is a high-impact engineering opportunity focused on designing and delivering real-time, large-scale data platforms that power modern digital products. You will work in a global, remote-first environment, collaborating with international engineering teams to build scalable, low-latency streaming architectures. The position involves solving complex data challenges across structured and unstructured datasets while ensuring high performance, reliability, and security. You will contribute to the full data lifecycle—from architecture and development to deployment and production optimization. This role also emphasizes strong ownership, as you will help shape real-time data solutions that directly influence product performance and business decisions. It is ideal for engineers who thrive in distributed systems, event-driven architectures, and fast-paced global environments.
- Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
- Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
- Build and optimize complex data processing workflows handling structured and unstructured data sources.
- Contribute to architecture decisions and delivery of key platform modules supporting real-time analytics and data-driven products.
- Work with AWS-based data services including Kinesis, Lambda, SQS, Redshift, Glue, Athena, and related big data technologies.
- Improve system performance, reliability, and observability through continuous optimization and production monitoring.
- Participate in CI/CD-based deployment processes and ensure smooth production releases and system stability.
- Mentor team members by sharing knowledge, providing feedback, and promoting engineering best practices.
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field.
- 7+ years of experience in data engineering or backend/data platform development roles.
- Strong hands-on experience with real-time, event-driven architectures and streaming systems.
- Proficiency in at least one modern programming language such as Python, Scala, Go, or TypeScript.
- Experience building and maintaining complex data processing pipelines in production environments.
- Strong knowledge of data modeling techniques (e.g., star schema, dimensional modeling).
- Experience with query optimization and performance tuning for large-scale data systems.
- Familiarity with AWS data ecosystem and distributed data processing frameworks (e.g., Spark, Flink, EMR).
- Experience with Airflow, Kafka (preferred), and modern CI/CD workflows (GitLab).
- Strong problem-solving mindset with ability to work independently in a global, remote team setup.
- Competitive salary package aligned with experience and skills
- Fully remote role based in India with global collaboration exposure
- Opportunity to work on large-scale real-time data platforms and modern cloud architectures
- Fast-paced, learning-oriented environment with strong engineering culture
- Inclusive, multicultural team spanning 45+ nationalities
- Strong focus on work-life balance and employee well-being
- Health coverage and additional lifestyle-related benefits (e.g., meals, commute, sports support).