Chief Data Architecture Specialist

3 days ago

Kollam, Kerala, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join our team.

The ideal candidate will have expertise in designing and implementing petabyte-scale lakehouse architectures, real-time data engineering, high-performance applications, and modern data infrastructure.

Key Responsibilities:

  • Design Scalable Systems: Design and implement scalable systems using Apache Iceberg, Delta Lake, Kafka, Pulsar, and Flink to unify data lakes and warehouses.
  • Real-Time Data Engineering: Develop and optimize streaming pipelines for 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 like Trino and Spark for sub-second operations 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 & Performance Optimization: Manage production infrastructure for reliability, scalability, and cost efficiency.
  • Innovation: Stay ahead of trends in the data ecosystem to drive technical excellence.
  • API Development (Optional): Build and maintain Web APIs (REST/GraphQL) to expose data services internally and externally.

Qualifications:

We are looking for a highly skilled Senior Data Engineer with 8+ years of experience in designing and implementing large-scale data systems. Key qualifications include:

  • 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).

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