Big Data Engineer – Exp – 1-5 Years, Budget – 12 LPA CTC – 35 LPA CTC – Worli, Mumbai
Big Data Engineer
Experience Required: 1-7 years
Employment Type: Full Time
CTC Offered Best In The Industry
Location: Worli Mumbai
Awards won by the company :-
Top 25 Startups to work for 2019
Winner – Amazon AI Conclave 2019Must have skills
Solid understanding of data structures, algorithms, concurrency, distributed processing
and data parallelism
Good conceptual understanding of a subset of NoSQL data stores like search, graph,
wide-column, key/value and document databases.
Thorough understanding of at least one of the NoSQL data stores- Preferable, if it
includes Cassandra, Elastic Search, JanusGraph, Spark or Kafka.
Should be proficient in at least one of the general-purpose programming languages like
Python, Java, Scala etc.
Highly desired but not mandatory
Containers and orchestration services
Experience of building auto-scalable event driven data pipelines
Deep interest in Graph algorithms and mathematics.
The company is a banking and business intelligence solution provider, set out to create products that empower lending institutions and corporates with cloud based solutions for informed and intelligent decisions.
About The Company
The company is building one of the most comprehensive digital due diligence platforms to enable screening of counter parties through 700+ credible publicly available government information sources through a singular gateway. Karza’s offerings assist Financial Institutions throughout their customer journey from on-boarding [TotalKYC], risk assessment [Discover], Underwriting and Due Diligence, Monitoring and Recoveries. Each solution focuses on:
a. Thorough digitization of the processes
b. Enabling rapid decisions ( Onboarding, Underwriting & Risk Assessment)
c. Ensuring comprehensive risk management and screening to ensure no key factors are missed out
Industries : Information Technology and Services
Headquarters : Mumbai, Maharashtra
Type : Privately Held
Founded : 2015
Specialities: Banking Applications, Credit Assessment, Loan Monitoring, Fraud Analytics, Big Data Analytics, Business Intelligence
Thanks & Regards,