Data System Architect

2 days ago

Bharatpur, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Data Engineer Job Description

We are seeking a highly experienced Senior Data Engineer to join our team. The successful candidate will be responsible for designing and implementing petabyte-scale data systems, real-time data processing, high-performance applications, modern data infrastructure, database expertise, data governance, cost optimization, and innovation.

Key Responsibilities:

  • Design Scalable Systems: Develop petabyte-scale lakehouse architectures (Apache Iceberg, Delta Lake) to unify data lakes and warehouses.
  • Real-Time Data Processing: Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
  • High-Performance Applications: Leverage Java to build scalable, high-throughput data applications and services.
  • Modern Data Infrastructure: Leverage modern data warehouses and query engines (Trino, Spark) for sub-second operation and analytics on real-time data.
  • Database Expertise: Work with RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems to manage diverse data workloads.
  • Data Governance: Ensure data integrity, security, and compliance across multi-tenant systems.
  • Cost Optimization: Manage production infrastructure for reliability, scalability, and cost efficiency.
  • Innovation: Stay ahead of trends in the data ecosystem (e.g., Open Table Formats, stream processing) to drive technical excellence.
  • API Development (Optional): Build and maintain Web APIs (REST/GraphQL) to expose data services internally and externally.

Qualifications:

  • Data Engineering Experience: 8+ years of experience with large-scale systems (petabyte-level).
  • Java Proficiency: Expert proficiency in Java for data-intensive applications.
  • Lakehouse Architectures: Hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).
  • SQL Skills: Strong SQL skills and familiarity with RDBMS/NoSQL databases.
  • Query Engine Optimization: Proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.
  • Data Governance Knowledge: Knowledge of data governance, security frameworks, and multi-tenant systems.
  • Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).

What We Offer?

  • Unique Experience: Unique experience in Fin-Tech industry.
  • Good Atmosphere: Good atmosphere at work and a comfortable working environment.
  • Additional Benefits: Additional benefits including Group Health Insurance - OPD Health Insurance.
  • Coverage for Self & Family: Coverage for Self + Family (Spouse and up to 2 Children).
  • Leave Benefits: Attractive Leave benefits like Maternity, Paternity Benefit, Vacation leave & Leave Encashment.
  • Reward & Recognition: Reward & Recognition – Monthly, Quarterly, Half yearly & yearly.
  • Loyalty Benefits: Loyalty benefits.
  • Employee Referral Program: Employee referral program.

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