Big Data Engineer

Skills

Description

6+ years of software development experience and leading teams of engineers and scrum teams

3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark)

Solid Datawarehousing concepts

Knowledge of Financial reporting ecosystem will be a plus



Expert on Distributed ecosystem

Hands-on experience with programming using Core Java or Python/Scala

Expert on Hadoop and Spark Architecture and its working principle

Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data

Experience in UNIX shell scripting

Ability to design and develop optimized Data pipelines for batch and real time data processing

Should have experience in analysis, design, development, testing, and implementation of system applications

Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.

Responsibilities

• Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage
• 1 + years of experience in designing and building solutions using Kafka streams or queues
• Experience with GitHub/Bitbucket and leveraging CI/CD pipelines
• Experience with NoSQL i.e., HBase, Couchbase, MongoDB is good to have
• Excellent technical and analytical aptitude
• Good communication skills
• Excellent Project management skills.
• Results driven