Senior Data Engineer
Merkle Science (company site, opens in a new tab)5+ yrsBengaluruHybridDirect career pageEst. 20–35 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and own scalable, high-throughput data pipelines and backend services for blockchain data across 30+ chains.
- Maintain and continuously improve platform performance, reliability, cost efficiency, and operational metrics from design through production.
- Collaborate with product, analytics, and investigations teams to align platform designs with user needs; mentor engineers and contribute to architecture and design decisions.
Minimum Requirements
- 5+ years building and operating production data systems, including ETL/ELT pipelines, with at least 2 years owning critical dependent systems.
- Expertise in Python, strong SQL, and production experience with Go for backend services.
- Production experience with ClickHouse (MergeTree schema, query tuning) and Databricks (PySpark, Delta Lake, Unity Catalog).
- Production experience handling large-scale data (billions of rows, tens of terabytes) and familiarity with Kafka, Airflow, Kubernetes; Google Cloud preferred (AWS acceptable).
Ideal Candidate Profile
- Experienced in end-to-end ownership of high-scale data systems with a strong operations and communication mindset, including instrumentation, runbooks, and post-incident reviews.
- Comfortable working in a small senior team environment focused on measurement-driven decisions and maintaining production-level code quality.
- Skilled in designing incremental, idempotent data pipelines and backend services, with deep understanding of performance tuning and cost optimization in large data platforms.