Java Developer/Architect
Listed on 2025-12-01
-
IT/Tech
Data Analyst, Data Engineer
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC is a Full-service IT provider, focused on delivering Innovative and value-driven business analytical solutions leveraging data science, data engineering, and decision science to provide winning actionable insights assisting our financial services clients, banking, Insurance, and credit union business in achieving their business goals.
Innovizant is made up of exceptional data scientists and domain experts with great experience in our financial services industry solutions, including Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics, and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients, including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS
239), and Smart
CECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget implementing data sciences solutions – with minimal to no returns.
Job DescriptionFull Time (Direct Hire)
Job Description:
Must Have:- Ten or more years of hands-on experience in a software development profession
- Experience with High-Performance GRID Computing platforms
- Proficiency working in a Linux-based environment, including shell scripting and basic system administration
- Proficiency in technologies that include Java, Python, or C or C++
- Experience in implementing and consuming Web Service technologies/APIs (SOAP, REST, JSON)
- Experience in Hibernate, Spring (boot, core, aop, mvc, orm), Struts, and related framework/technologies
- Good understanding of design patterns (Singleton, Factory, Adapter, Decorator, Command, MVC, etc.)
- Experience with Relational Databases (DB2, Oracle) and SQL programming
- Experience in scheduling using Auto Sys, Crontab
- Experience working on a team operating under an Agile Scrum delivery methodology
- Excellent analytical skills and the ability to provide alternative solutions to technical problems
- Strong written and verbal communication skills
- Possess strong leadership skills and a self-starter
- Bachelor’s degree in Computer Science, Information Systems Management, or equivalent experience
- Exposure to ETL, Data warehousing, Oracle, Teradata, and DB2
- Experience in Oracle database programming and performance tuning
- In-depth understanding and prior work experience in the finance industry is a plus
- Strong knowledge of data structures and algorithms
- Deep expertise in creating Big Data stores with special consideration to efficient storage, partitioning strategies, storage formats, etc.
- Ability to conceive and portray the big data picture to multiple groups in the company
- Should be able to provide scalable and robust solution architecture depending on the needs
- Should be able to compare tools and technologies and recommend a tool or technology
- Must have experience of executing a couple of data projects (end to end)
- Strong technical expertise and hands-on experience on Hive, Flume, HBase, and other Hadoop components
- Candidate must have strong background and hands-on experience of SPARK or JAVA or Data warehouse / ETL/BI or DWH appliances
- Must have strong customer service skills and excellent verbal and written communication skills
- Excellent problem-solving and analytical skills
- Ability and desire to work in a fast-paced environment, stay motivated, and flexible
- Ability to work cross-functionally to deliver appropriate resolution of technical, procedural, and operational issues
- Knowledge of MapR ecosystem
- Good knowledge of No
SQL Databases, preferably MapR DB - Very good understanding of in-memory databases and distributed databases
- Thoroughly understanding of how to handle real-time data integration/Real-time data technologies (e.g., Kinesis, Kafka)
- Good understanding of security aspects, including Kerberos, Sentry, etc.
- Good experience with databases and SQL
- Good experience with at least one programming language like Scala, Java, Python, Pig, etc.
Java, Hibernate, Spring (boot, core, aop, mvc, orm), Struts, SQL, Oracle, Web Services, API's
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).