Venus Factor Program

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

JOB DESCRIPTION

Job Title:

Data Scientist – Graph & Analytics

Location:

Pune, Maharashtra

Work Mode:

Work from Office – 5 Days a Week

Experience:

3–5 Years

Employment Type:

Full-Time

Education:

B.E. / B.Tech in Computer Science, IT, Statistics, or related field

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

JD:

• 6–10 years in database administration

• Strong hands-on experience with PostgreSQL

• Experience supporting production-grade systems

• Communicating with team members and clients requires strong active listening skills, clear verbal and nonverbal communication skills.

Technical Skills

• PostgreSQL: o indexing, partitioning, vacuuming o query optimization (EXPLAIN/ANALYZE)

• Experience with: o high-volume transactional systems o time-series / IoT data (preferred)

• Knowledge of: o replication (streaming/logical) o backup tools (pg_dump, WAL, etc.)

• Familiarity with cloud-managed DB services (AWS RDS, Aurora, etc.)  

Urgently Hiring Java backend developer on Spring Boot for our IT company Logical Soft Tech Pvt Ltd, Indore(M.P)

Experience : Minimum 6 months as Java Backend developer on Spring boot

Job location : Indore(M.P) *****Only walkins interview so only local Indore candidate need to apply or who can come directly come for interview***

Roles and Responsibilities :-

1) Expert as backend developer building logics, creating api, database, admin panel and rest api development.

2) Working on 3rd party api , google map api, sms gateway api, payment gateway api, firebase chat , notification

3) Done some live project on backend , self and quick learner, able to manage timeline, target oriented to complete the projects on time, ability to work in individual and in a team.

**********************************************

Then Please come for Interview with the updated CV if you are expertise in Java backend spring boot developer Monday to Saturday 11 Am to 6 P.M

Company Name : Logical Soft Tech pvt Ltd, Indore(M.P)

Contact : -+91-821.025.182.4(technical Department ) , +91-786.973.159.5(HR), +91-826.982.972.9(HR), +91-741.595.091.9(HR)

Address: - 2nd floor, 388,PU4, Scheme 54 PU4, Next to Krozzon hotel, Infront of Old Eye Retina Hospital, Vijay Nagar, Indore, M.P

**********Notes : - No fresher please , for fresher we dont have any job vacancy only internship program****

We are hiring a SAP BTP CAPM Consultant with a minimum of 6 years of experience in building applications using SAP’s Cloud Application Programming Model (CAPM). Strong hands-on experience with Node.js or Java in BTP, OData services, and deployment in Cloud Foundry is required. Experience with SAP HANA DB and BAS (Business Application Studio) is preferred.

General Description:

Owns all technical aspects of software development for assigned applications.

Participates in the design and development of systems & application programs.

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **DataDog** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**

Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

Developing and maintaining web applications that are optimised for various devices and browsers

Implementing responsive design and cross-browser compatibility for different screen sizes

Developing user-friendly and interactive web features such as buttons, forms, and menus

Using JavaScript libraries and frameworks such as React or Angular to build complex web applications and interactive features. In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux

PLUS WebAPI

Testing web applications to ensure they are bug-free and work seamlessly for the end-users.Experience with browser-based debugging and performance testing software is preferred

Excellent troubleshooting skills

• 5 years professional experience writing full-stack REST-based applications.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• 2-4 years of experience working with reactJS.
• Thorough understanding of the core principles of ReactJS.
• Prior experience with popular React.js workflows (such as Flux or Redux).
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Knowledge of Spring Boot, Spring Security, Spring JPA & Hibernate.
• Experience working with SQL and NoSQL databases.
• Adopted opinionated Restful web services design patterns.
• Knowledge of Application containerization technologies, including Dockers, Kubernetes , and cloud-vendor implementations (AWS, Azure, other).
• Ability to pick up and learn new technologies quickly.
• Strong verbal and written communication skills.