Sr. Big Data Architect- Mumbai
Job title: Sr. Big Data Architect
Role: Building large scale distributed systems/applications and customer experience architecture. Designing data lake, understanding of data in motion and data at rest, using Hadoop platform.
Experience: 8-10 Years
Hands on knowledge of Big Data Management, Deep understanding of Enterprise data strategy, platforming, data modeling and architecting
Deep experience in Data platform designing, architecting, implementation & operations standards
Knowledge and understanding of ETL design, data processing mechanism,
data replication, data masking, and performance factors etc?
Be a Thought leader in Big Data
Translate complex functional and technical requirements into detailed design and development
Should be able to approach solution with best of breed technologies for a given Big Data problem
Provide direction and conduct peer reviews
Define and implement standards and best practices for data Integration & analytics
Good communicator and ability to translate the business requirement to technical outcome
Skills: Hadoop /Apache Pig/Hive/HBase/Kafka/Storm/ Spark/
MapReduce/Cloudera/Hortonworks/ Mongo DB/ Redis/ Lamda Architecture/
Preferred Domain (Optional): Air Transport, Travel, Customer Experience
Expected Start Date: Immediate
Number of Position
INR 1000000- 1400000
30 days POST joining of the candidate
KAM Analytics is a Mumbai based Start-Up focused on the developments of Big Data/ML & AI in the Air Transport domain. Driven by our passion for the industry, we are fixated on solving the puzzle of passenger 360, and aim to enable airlines lead, in a future driven by Passenger Centric Decision Making.
We are in process of building a first of its kind Air Transport Innovation Lab in the country, comprised of leading start ups, technology experts and airline companies, tasked with exploring the various opportunities that arise from having a holistic view of the passenger.
We are expanding and looking for passionate technology experts to become part of our team & lab.