
Chief Data Architect
5 days ago
As a seasoned data engineer, you will be responsible for architecting and building scalable systems. You will design and implement petabyte-scale lakehouse architectures to unify data lakes and warehouses.
Key Responsibilities:
- Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
- Build high-performance applications leveraging Java to develop scalable, high-throughput data applications and services.
- Leverage modern data warehouses and query engines for sub-second operation and analytics on real-time data.
Additional Requirements:
- Expert proficiency in Java for data-intensive applications.
- Hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).
- Strong SQL skills and familiarity with RDBMS/NoSQL databases.
Key qualifications include:
- 8+ years of data engineering experience with large-scale systems (petabyte-level).
- Proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.
- Knowledge of data governance, security frameworks, and multi-tenant systems.
We offer:
- A unique experience in the Fin-Tech industry with a leading company.
- A good atmosphere at work and a comfortable working environment.
- Additional benefits including Group Health Insurance - OPD Health Insurance, covering Self + Family (Spouse and up to 2 Children).
- Attractive Leave benefits like Maternity, Paternity Benefit, Vacation leave & Leave Encashment.
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