2 days ago
Bengaluru, IndiaSenior
Responsibilities
- Build core product features, systematic enhancements, and bug fixes for the data pipeline service.
- Develop and optimize the data writer platform that loads data into warehouses.
- Process terabytes of customer data by splitting it into CSV, Avro, and Parquet files, merging it, and loading it into data warehouses.
- Optimize synchronization services operating on a global Kubernetes compute cluster.
- Own and drive features, propose designs, participate in design reviews, contribute code, review code, and mentor junior engineers.
- Troubleshoot existing systems and produce detailed root-cause analyses.
Requirements
- 5+ years of professional experience writing Java in distributed production environments.
- Experience with reliable, data-intensive distributed systems and high-volume data management platforms operating under strict SLAs.
- Strong understanding of complex SQL merge queries, query plans, and best practices.
- Strong system design, technical problem-solving, and troubleshooting skills.
- Ability to use AI coding assistants and conversational AI systems such as Claude and ChatGPT for software development and SDLC artifacts.
- Preferred experience with BigQuery, Databricks, SQL warehouse internals, ETL, ELT, AWS, GCP, Azure, Kubernetes, Docker, Buildkite, or similar technologies.
Benefits
- Hybrid work arrangement.
- 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.
- Virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform with therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.
Tech Stack
AWSAzureBuildkiteDatabricksDockerGoogle BigQueryGoogle Cloud PlatformGrafanaJavaKubernetesPostgreSQLSQL
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.