Sr. Big Data Engineer
Location : Pune
Experience : 8+ years overall; 6+ years relevant
Mode : Hybrid
Role Overview :
We are seeking a talented Sr. Big Data Engineer to design, develop, and support a highly scalable, distributed SaaS-based Security Risk Prioritization product. You will lead the design and evolution of our data platform and pipelines, providing technical leadership to a team of engineers and architects.
Key Responsibilities :
- Provide technical leadership on data platform design, roadmaps, and architecture.
- Design and implement scalable architecture for Big Data and Microservices environments.
- Drive technology explorations, leveraging knowledge of internal and industry prior art.
- Ensure quality architecture and design of systems, focusing on performance, scalability, and security.
- Mentor and provide technical guidance to other engineers.
Required Skills & Technologies :
Mandatory : Kafka, Scala, Spark
Big Data & Data Streaming : Spark, Kafka, Hadoop, Presto, Airflow, Data lakes, lambda architecture, kappa, and kappa ++ architectures with flink data Databases & Caching : RDBMS, NoSQL, Oracle, Cassandra, Search Solutions : Solar, ML & Automation : Experience with ML models engineering and related deployment, scripting, and Architecture : In-depth experience with messaging queues and caching components.Other Skills : Strong troubleshooting and performance benchmarking skills for Big Data technologies.
Qualifications :
Bachelors degree in Computer Science or equivalent.8+ years of total experience, with 6+ years relevant.2+ years in designing Big Data solutions with Spark.3+ years with Kafka and performance testing for large infrastructure.(ref : hirist.tech)