Scope of work:
Understand business requirements , study existing application landscape, and conceptualize technical solutions to business use cases and problem statements. Work closely with onshore and offshore development and testing teams to outline, develop, test, and implement technical solutions as per agreed upon delivery schedule.

Selling Points of the role; Hadoop Technologies (Both Batch & RealTime technology stack)

Position Summary:

• Develop high-performance and scalable Analytics solutions using the Big Data platform to facilitate the collection, storage, and analysis of massive data sets from multiple channels.
• Utilize your in-depth knowledge of Hadoop stack and storage technologies, including HDFS, Spark, MapReduce, Yarn, Hive, Sqoop, Impala, Hue, and Oozie, to design and optimize data processing workflows.
• Apply your expertise in NoSQL technologies like MongoDB, SingleStore, or HBase to efficiently handle diverse data types and storage requirements.
• Implement Near real-time and Streaming data solutions to provide up-to-date information to millions of Bank customers.
• Collaborate with cross-functional teams to identify system bottlenecks, benchmark performance, and propose innovative solutions to enhance system efficiency.
• Take ownership of defining Big Data strategies and roadmaps for the Enterprise, aligning them with business objectives.
• Stay abreast of emerging technologies and industry trends related to Big Data, continuously evaluating new tools and frameworks for potential integration.

DayToDay Responsbilities: Top 3 Skills:
1. Hadoop/Spark
2. Kafka
3. Python