Snowflake Senor Data Engineer at Jobgether – India
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About This Position
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Snowflake Senior Data Engineer in India.
This role is designed for a highly experienced data engineering professional who thrives in building and optimizing scalable, cloud-based data platforms. You will play a key role in designing, developing, and maintaining advanced data pipelines and architectures that power enterprise-level analytics and decision-making. Working in a fast-paced, innovation-driven environment, you will collaborate with cross-functional teams to deliver robust and high-performance data solutions. The position requires strong expertise in Snowflake along with deep exposure to modern data engineering practices across cloud and big data ecosystems. You will also contribute to automation, orchestration, and performance optimization of large-scale data workflows. This is a high-impact opportunity to shape data infrastructure that supports critical business intelligence and advanced analytics initiatives.
- Design, develop, and optimize scalable data pipelines and data engineering solutions using Snowflake and related technologies
- Build and maintain automated data workflows using Python and Linux Bash scripting for efficient data processing and transformation
- Implement and manage orchestration workflows using tools such as Luigi for complex data pipeline coordination
- Work with Hadoop ecosystem tools and SQL databases to ensure efficient data storage, processing, and query performance
- Deploy and manage cloud-based data solutions using AWS services including EC2, S3, RDS, and EMR
- Monitor data pipelines using observability and alerting tools to ensure reliability, performance, and timely issue resolution
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
- Lead technical initiatives, provide guidance to junior engineers, and contribute to engineering best practices
- 5–10 years of experience in data engineering roles
- Strong hands-on experience with Snowflake in production environments
- Advanced programming skills in Python and Bash scripting for automation and data workflows
- Experience with workflow orchestration tools such as Luigi
- Solid knowledge of Hadoop ecosystem tools (e.g., Spark, Hive) and SQL-based data systems
- Strong expertise in AWS cloud services including EC2, S3, RDS, and EMR
- Familiarity with monitoring and alerting tools for data pipeline observability
- Understanding of data architecture principles, including data lakes and large-scale distributed systems
- Knowledge of CI/CD practices for deployment automation and testing
- Strong communication and leadership skills with experience mentoring junior team members
- Exposure to data governance, security practices, and compliance standards is a plus
- Ability to collaborate effectively with both technical and non-technical stakeholders
- Competitive compensation aligned with experience and industry standards
- Opportunity to work on large-scale, high-impact data engineering projects
- Exposure to modern cloud and big data technologies in a cutting-edge environment
- Career growth opportunities in technical leadership and architecture roles
- Collaborative and innovation-driven work culture
- Flexible work environment depending on project and team needs
- Opportunity to work on complex, real-world data challenges across industries