Technical Lead – Product Development

Job Description

Technical Lead – Product Development

Type : Full Time

Location : Pune

Experience Required : 8 Year(s)

Industry : KPO / Research /Analytics

Preferred Skills : Agile Development Big Data Cassandra Cloud Computing Hadoop Hbase J2EE Map Reduce Mongo DB Spark Web Services Zookeeper

Job Description :

-8-12 years of providing technical solutions including 4+ years of in a combination of relevant Big Data/Analytics 

-Extensive experience in defining Enterprise level Architecture and design and development. 

-Extensive knowledge of Hadoop and other Industry BigData Frameworks

-Working knowledge of underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking) 

-Experience in designing, building and operating cloud services in IT

-Experience in building & managing high performance solutions working on Big Data, Cloud, AI technologies

-Excellent verbal and written communication; experience in effectively communicating with teams located across different locations. Strong leadership skills; ability to influence without authority

-In-depth knowledge of design patterns and refactoring concepts

-Practical expertise in performance tuning and optimization, bottleneck problems analysis

-Strong technical aptitude/affinity; experience working hand-in-hand with software, test, and/or system engineers

-Possess expertise in Object-Oriented Analysis and Design

-To be able to clearly articulate pros and cons of various technologies and platforms

-To be able to document use cases, solutions and recommendations;

-Deep understanding of Agile (Scrum) and SDLC process

-BS/MS degree in computer science or related discipline

Responsibilities

-Responsible for delivery of Technical solution at program level. Drive applications design, development and maintenance

-Drive Java EE, Java web application frameworks (Spring), Java application servers and containers (JBoss, Tomcat)

-Provide solutions in big data technologies and frameworks including but not limited to Hadoop, Spark, MapReduce, Pig, Hive, HBase, Oozie, Flume, ZooKeeper, MongoDB, and Cassandra

-Support big data solutions developed in large cloud computing infrastructures such as Amazon Web Services 

-Manage client-driven large-scale implementation projects

-Documentation of solution architecture and design.

-Drive troubleshooting exercises