
Data Engineering Specialist
2 days ago
Data Engineering Expert
We are seeking an experienced data engineer to join our team.
Key Responsibilities:
- Design and implement scalable systems using lakehouse architectures (Apache Iceberg, Delta Lake).
- Develop real-time data engineering solutions using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
- Leverage Java to build high-throughput data applications and services.
- Work with modern data warehouses and query engines (Trino, Spark) for sub-second operations and analytics on real-time data.
- Manage database expertise in RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems to manage diverse data workloads.
- Ensure data integrity, security, and compliance across multi-tenant systems.
- Optimize production infrastructure for reliability, scalability, and cost efficiency.
- Stay ahead of trends in the data ecosystem to drive technical excellence.
Qualifications:
- 8+ years of data engineering experience with large-scale systems (petabyte-level).
- 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.
- Proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.
- Knowledge of data governance, security frameworks, and multi-tenant systems.
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
What We Offer?
- A unique experience in Fin-Tech industry.
- A good atmosphere at work and a comfortable working environment.
- Additional benefits of Group Health Insurance - OPD Health Insurance.
- Coverage for Self + Family (Spouse and up to 2 Children).
- Attractive leave benefits like Maternity, Paternity Benefit, Vacation leave & Leave Encashment.
- Reward & Recognition – Monthly, Quarterly, Half yearly & yearly.
- Loyalty benefits.
- Employee referral program.
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