Data Analytics
Shubham Vishwakarma
Full Stack Developer - Averlon
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• Development/Testing/Processes
• Developing effective QlikView/ Sense data models
• Developing front end applications using Qlik technology
• Utilizing scripting language to meet complex business requirements
• Utilizing Qlik Publisher / N printing capabilities
• Extract, transform and load (ETL) data from multiple data sources into the Qlik application
• Design, build, test and debug Qlik solutions based upon specified
requirements
• Follow implementation standards
• Utilize source control tools
• Follow deployment process
• Experience creating extract/transform/load routines from data sources
including SAP BW, SAP R/3, MS SQL Server, DB2, Oracle as well as other data sources
• Solid experience developing complex Qlik data models
Specific Responsibilities:
• Participating in business requirements and design review sessions
• Providing input on proposing, evaluating, and selecting appropriate
design alternatives which meet requirements and are consistent with our
current standards and processes
• Extracting, transforming and loading data into Qlik applications
• Developing, testing, debugging Qlik applications
• Migrating code across development and testing landscapes
• Creating publisher jobs
• Developing documentation
• Transferring knowledge and landing application to BI Support team
• Good communication skills and ability to interact with the customer
• Willingness to travel is mandatory
• Experience on Qlik sense, Geo Analytics an added advantage
Java
Spring BootAbout Company
Our client is in the business of delivering cutting-edge software solutions, hardware systems, and IT services. It lends the right technological edge to governments and businesses. This enables them to achieve their organizational objectives efficiently and effectively to scale their businesses to newer heights.
Minimum Requirements/Qualifications:
• Bachelor’s/Master’s degree in computer science, Computer Engineering or a related field is preferred.
• Must have at least 5 to 7 years of experience in application development (Java,Spring Framework), Deployment(Apache Tomcat & Nginx)
• Sound knowledge of Object-Oriented Programming (OOP) Patterns and Concepts.
• Knowledge & hands-on experience of Java, Spring Framework, Spring Security, JSP, Apache Tomcat, Nginx is a must.
• Must have experience with Bootstrap CSS, jQuery etc.
• Basic Understanding of PostgreSQL, MVC (Model-View-Controller) Pattern, JDBC (Java Database Connectivity), and RESTful web services.
• Relevant Knowledge of Java GUI frameworks according to project requirements.
• Experience in handling external and embedded databases.
Roles & Responsibilities
• Develop new modules, patches & Updates/upgrades for an existing application (developed in-house by the client)
• Bug fixing, and updating of software.
• Analyze user requirements to define business objectives.
• Maintain Java-based applications that can be high-volume and low-latency.
• Identify and resolve any technical issues arising.
• Write well-designed, testable code.
• Conducting software analysis, programming, testing, and debugging.
• Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review.
Role: Customer Service Executive/Technical Support Executive
Responsibilities:
- Call Handling from Customers and resolving the issues.regarding printers, routers , email issues.
- Supporting the Query and do the needful.
- Reporting to the team lead.
- Proactive work to be done.
Docker
Kubernetes
Amazon Web Services (AWS)LogiNext is looking for a technically savvy and passionate Senior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 7 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
NodeJS (Node.js)
MongoDB
ExpressKey Responsibilities:
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 2 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large scale social or location-based app.
|
Overall 5+ years of experience required in Finacle Development/Support |
Best Opportunity for Experienced Professionals
Role/Position - SQL DB Dev Analyst
Job Description
Proven work experience of 8+ years as a database developer.
In depth understanding of data management (e.g. permissions, recovery, security and monitoring)
Hands on experience with MS SQL Server.
Developed and maintained various T-SQL stored procedures for different applications, reports and agent jobs.
Worked with DB administrator to provide overall performance tuning of Database System which include applying Indexes and refining stored procedure.
Completed the conversion of various legacy DB applications.
Design, code, test and debug business logic for software applications using T-SQL per defined technical specifications.
Excellent analytical and organization skills.
Knowledge of software development and user interface web applications.
An ability to understand front-end user requirements and problem-solving attitude.
Should have excellent analytical and communication skills.
Qualifications
· B.E. / B.Tech. /MSC in Computer Science or IT.
Additional information Responsibilities:
· Maximize system efficiency by regularly tuning and optimizing stored procedures.
· Able to perform data analysis to clean up data, creating queries and automation routines.
· Translate use cases into functional applications
· Ensure the best possible performance, quality and responsiveness of applications.
· Help maintain code quality
· Able to work well in a team setting.
Notice Period - 15 days
Salary Package - Open
● Setting a vision for how technology will be used in the company.
● Ensuring that technological resources meet the company's short and long-term needs.
● Work closely with Product, Marketing, Business Development and Operations to define
and deliver new products and enhancements
● Outline the goals for research and development.
● Creating timelines for the development and deployment of all technologicalservices.
● Maintaining a consumer-focused outlook and aiding in the delivery of Technology
projects to market.
● Managing technology budgets and time frames.
● Staying on top of technology trends and developments.
● Ensuring all technology practices adhere to regulatory standards.
● Making executive decisions on behalf of the company's technologicalrequirements.
● Keep track of Technology budgets in order to update the performance of technology
Job Requirements:
● Proven experience as a Head of Technology, CTO or similar leadership role
● Knowledge of technological trends to build strategy
● Understanding of budgets and business-planning
● Ability to conduct technological analyses and research
● 12 years working in a technological role with 8 years managerial experience.
● Exceptional team management skills.
● Excellent verbal and written communication.
● Extensive industry knowledge with an eye towards the future
Data Science
Python
C++JavaAmazon Web Services (AWS)empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership
The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions
• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials
1) Hands on experience with Tivoli - ITM v5.1 troubleshooting.
2) Familiar with Web Sphere Application Services
3) Familiar with Active Directory configuration
4) Knowledge on LDAP, SSO.. Etc
5) Knowledge on Identity & Access Management process
Qualiification:
- BTECH or Equivalent degree.
- 6 to 8 years of total experience.
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Full Stack Developer - Averlon