Summary role description: 

Hiring for a Lead Spark Developer using Python / Scala, for a tenured, high-end, global IT Services and IT Consulting client

Company description:

Our client is a tenured US-HQ Global IT Consulting and IT Services company whose best-in-class technology solutions deliver rapid, meaningful, and lasting business value to businesses the world over, across domains like Logistics, FinTech, MarTech, Healthcare & Life Sciences, Utilities, Business Services, Education, and Manufacturing. Their high-performance teams are spread across multiple offices worldwide, and are uniquely positioned to deliver solutions leveraging Microsoft, AWS, Oracle and Salesforce, Intelligent Automation, Analytic, Cyber Security and Infrastructure Services solutions, with a focus on Data, Cloud and Product Engineering. The company has a unique blend of Corporate and Entrepreneurial cultures, enabling vibrant, smart, and passionate team members to deliver largescale business value for clients continually, even as they learn, innovate, grow, have fun, give back to their communities.

Role details:

• Title / Designation: Lead Developer 
• Position level: Manager
• Position type: Lead
• Reporting Manager: Associate Director
• Location: Pune
• Work Mode: On-site / Hybrid / remote

Role & responsibilities:

• Develop large big data applications using Spark on Python / Scala
• Coordinate with internal stakeholders and client team for the requirements of the role
• Review junior developer code and assign tasks as per requirement. 

Candidate requirements:

• 8 – 12 years of overall experience
• 8+ years of hands on Spark development using Python / Scala 
• 4+ years of technical solutions experience including combination of relevant Big Data/Analytics areas including Hadoop and other industry Big Data frameworks, underlying infrastructure for Big Data solutions (clustered/distributed computing, storage, Data centre networking) 
• High level of experience with Python / Scala / Java 
• Technology expertise of solutioning in Hadoop, Hive, Spark / PySpark, SQL, Oozie 
• Implemented at least 2 Big Data projects from start till roll out 
• Deployment of a large distributed Big Data application 
• Experience designing, building and operating cloud services in IT, System integrator or service provider 
• Ability to demonstrate micro/macro designing and familiar with unix commands and basic work experience in unix shell scripting 
• Good exposure and experience in cluster administration and Enterprise Big Data landscape preparation from scratch 
• Good to have AWS Cloud experience 
• Ability to work independently and be a team player 
• Self-sufficient, independent requiring very little supervision or intervention 

Selection process:

• 2 Technical Rounds
• HR discussion