Oracle Identity Manager

Job Description :

Java Full Stack Developer (Java + Angular) We are solving complex technical problems in the financial industry and need talentedsoftware engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular. You will collaborate with cross-functional teams to define, design, and ship newfeatures, and you will work closely with Architects to ensure the technical feasibilityof designs and implement them accordingly.

Required Skills:  Exp. - 4 to 9 years.  Experience in Core Java 8 and above, Spring (including Core, Web Mvc, Batch, Cloud etc).  Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be awareof enterprise application design patterns.  Should be able to analyze, design, develop and test complex, low-latency clientfacing applications.  Develop user interfaces for modern web applications using Angular.

Primary Skills

DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python

Skills:

Good work experience showing growth as a Data Engineer.

Hands On programming experience

Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS Lake Formation.

Excellent knowledge in: Python, Scala/Java, Spark, AWS (Lambda, Step Functions, Dynamodb, EMR), Terraform, UI (Angular), Git, Mavena

Experience of performance optimization in Batch and Real time processing applications

Expertise in Data Governance and Data Security Implementation

Good hands-on design and programming skills building reusable tools and products Experience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, Quick Sight or similar.

Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark).

Knowledge and hands-on experience with server less technologies such as Lambda, MSK, MWAA, Kinesis Analytics a plus.

Expertise in practices like Agile, Peer reviews, Continuous Integration

Roles and responsibilities:

Determining project requirements and developing work schedules for the team.

Delegating tasks and achieving daily, weekly, and monthly goals.

Responsible for designing, building, testing, and deploying the software releases.

Salary: 25LPA-40LPA

About the brand:

Think9 is a brand co-creation platform that transforms powerful ideas into authentic, profitable, and experience-led brands that can define the future of brands in key consumption categories like fashion and lifestyle; food and FMCG, home and decor and beauty and wellness. We are a team of experienced entrepreneurs, marquee investors, and industry professionals who have expertise and experience in building some of the most popular brands in the country. We partner with passionate entrepreneurs to combine our collective learning and experience with data science, digital ethnography, and technology platforms to build brands that connect to the new generation of Indian consumers.

What you’ll be doing?

• Working knowledge of Shopify platform, as well as exposure to application development and the use of storefront APIs to extend Shopify functionality.

• Strong knowledge of liquid programming language and experience in development and application of custom/bespoke Shopify theme and modify  the pre-existing template(s)

• Collaborating with the UX and UI design teams to produce seamless, robust, and responsive frontend user experiences

• Manage multiple projects simultaneously, and be able to address their specific needs and  requirements at a moment's notice

• Understand business needs that drive project features & functions and provide internal consultation

• Proficiency in and understanding of best practices for HTML5, CSS, JavaScript/jQuery

• Have experience in migrating the e-commerce ecosystem in Shopify, Integrating third-party systems and Shopify supported apps

• Strong understanding of the e-commerce principles and the associated technology/tools

• Comfortable using version control systems (Bitbucket/GitHub)

• The ability to use Shopify Plus features including scripts and flow to best utilize the front and backend capabilities of the Shopify platform in building, launching and maintaining Shopify web-stores

• Strong skills in MySQL, CSS, HTML5, jQuery, JavaScript, Web Services

• Knowledge of additional platforms will be a plus

• Strong Object-Oriented Programming concepts

What you’ll bring?

• Education: Bachelor's Degree in IT, Computer Science, Computer Programming, or a similar field

• 3-5 years of experience developing within the Shopify 

• 3-5 years of experience in front-end technologies including, but not limited to, JavaScript, AJAX,HTML, CSS, SASS, XML

• Strong hands-on experience in daily eComm execution and process optimization

• Interest in staying current and applying the most current best practices

• Able to work effectively in a fluid, fast-paced environment.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

• Inventory Analyst (Req 1) 

Must have skills: 

Should have experience as End user in SCM 

Expertise in Supply Chain Management (SCM) Oracle preferred  

Experience in Inventory Management 

Should have knowledge on Warehouse Managemnet 

• As an Inventory Analyst at Viasat, you will coordinate and route the flow of material between contract manufacturers and distribution centers in North America, Europe, and Asia.  
• You will expedite parts to remedy any shortage problems.  

• You will perform purchase order receipts, create travelers, and maintain records of material flow.  
• Updating logs, databases, maintaining files, project reports, specifications, product information, and documentation.  
• Preparing processes and status reports, assigning and monitoring documents/databases, and reviewing documents/databases for accuracy and completeness.  
• Your ability to clearly communicate and build rapport with internal customers and key suppliers will be an essential skill in this role.  
• You will be responsible for incoming and outgoing material flows primarily supporting engineering activities.  

• Monitor the flow of material and parts between various suppliers and internal departments to meet tight schedules. 

• Develop and manage the outreach strategy across various segments of corporate users i.e., MNCs, start-ups, investors. Develop targeted value propositions for various segments of corporate users

• Conduct regular analysis of platform usage by companies to determine key issues / insights and suggest actions. Weekly follow-ups with key clients and developing client relationships 

• Independently, pitch the concept, manage follow-up, and ensure leads’ questions are answered

• Support design of key strategic initiatives through analytics and primary research and curation of the company side of the platform

• Envision and execute strategic partnerships e.g., industry associations, universities

• Managing own and team’s BD pipeline - tracking communications, success rates, etc.

• Refine the company outreach strategy jointly with the CEO and Marketing teams based on data on skills, usage patterns, success rates for different types of roles and organisations