3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Build and maintain data pipelines and connectors that move customer data from various sources into data warehouses.
- Process terabytes of customer data into clean, incremental, automated updates.
- Architect and develop reliable distributed systems and high-volume data services operating under strict SLAs.
- Contribute directly to code, review code and designs, and drive engineering excellence within the technology team.
- Mentor junior colleagues and provide technical leadership for complex, team-scope work.
- Support patching software and building connectors deployed on global Kubernetes compute clusters.
Requirements
- 8+ years of software engineering experience with a record of leading complex, team-scope technical work to completion.
- Experience architecting reliable distributed systems and managing high-volume data in enterprise or web-scale products and platforms.
- Experience building backend services and data systems.
- Strong knowledge of Java, AWS, cloud-based APIs, databases, data warehouses, software design, and programming best practices.
- Strong SQL query-writing skills and understanding of query execution plans.
- Knowledge of algorithms, data structures, software development, and automation.
- Proficiency with observability tools such as Grafana.
- Ability to use AI coding assistants, coding agents, conversational AI systems, and internal chatbots to support software development lifecycle artifacts.
- Experience with ETL or ELT and cloud-based platforms is preferred.
- Experience with Snowflake, Redshift, SQL Server, Kubernetes, Docker, database management systems, or storage systems is preferred.
- Strong communication, technical leadership, mentoring, innovation, productivity, quality, and customer-service skills.
Benefits
- Full-time hybrid work based in Bangalore, with remote flexibility and two days in the office each week.
- 100% employer-paid medical insurance, subject to country and worker-type variation.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Access to a mental health support platform offering therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.
Tech Stack
Amazon RedshiftAWSAzureDockerGoogle Cloud PlatformGrafanaJavaKubernetesMicrosoft SQL ServerSnowflakeSQL
Categories
BackendData Engineering
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.