about 2 months ago
Bengaluru, IndiaSenior / Staff+
H1B Sponsor
Responsibilities
- Design, build, and operate large-scale batch and real-time data pipelines.
- Take ownership of entire data domains including ingestion, transformation, and serving layers.
- Ensure high reliability, observability, and maintainability of data systems.
- Architect scalable, fault-tolerant data platforms handling high-throughput workloads.
- Lead design discussions and review complex system architectures.
- Mentor IC3 engineers and raise engineering standards.
- Develop and optimize high-performance SQL and distributed computations at scale.
- Use AI tools to accelerate development, debugging, and refactoring.
- Partner with Data Science, Platform, and Backend teams to build datasets powering products.
Requirements
- 6–10 years of experience in data engineering or distributed systems.
- Strong coding expertise in Python and/or Java.
- Deep expertise in SQL optimization on large-scale datasets.
- Hands-on experience with big data technologies like Spark, Kafka, Hive, and Presto.
- Experience building systems on AWS (S3, EMR, Redshift, EC2).
- Proven ability to design and scale distributed systems independently.
- Strong understanding of data modeling, schema evolution, and data SLAs.
Benefits
- Health coverage and paid parental leave.
- Generous paid time-off and holidays.
- Quarterly self-care days off and stock options.
- Access to learning and development initiatives including LinkedIn Learning.
- Quarterly wellness education sessions to encourage self-care.
Tech Stack
Categories
AI & MLData Engineering