11+ ArangoDB Jobs in Pune | ArangoDB Job openings in Pune

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.

Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles

Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior

Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research

Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements

Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation

Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology

Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness

Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams

Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role

Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)

Candidates from institutes with strong behavioral research exposure are preferred

Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms

Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights

🌟 Kick-start Your Corporate Career! 🌟

We’re hiring Freshers who are organized, proactive, and ready to learn in a fast-paced professional environment 🚀

💼 Position: Executive Assistant / Office Support

🎓 Experience: Fresher

💰 CTC: ₹25,000 per month

📝 Key Responsibilities:

✔ Manage emails, calls & basic documentation

✔ Schedule meetings and maintain calendars

✔ Assist senior management with daily tasks

✔ Prepare reports, presentations & data support

✔ Coordinate with internal teams & vendors

✨ What you’ll gain:

✔ Real corporate exposure

✔ Strong learning & growth opportunities

✔ Professional work culture

📢 Start your career the right way — apply now!

#Hiring #FresherJobs #FreshersHiring #ExecutiveAssistant #OfficeSupport #EntryLevelJobs #CareerOpportunity #LinkedInJobs #HunarStreet

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

Interpret the application/feature/component design to develop the same in accordance with specifications.

Code debug test document and communicate product/component/feature development stages.

Validate results with user representatives; integrates and commissions the overall solution

Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions

Optimises efficiency cost and quality.

Influence and improve customer satisfaction

Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

Adherence to engineering process and standards (coding standards)

Adherence to project schedule / timelines

Number of technical issues uncovered during the execution of the project

Number of defects in the code

Number of defects post-delivery

Number of non compliance issues

On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per design

Follow coding standards

templates and checklists

Review code – for team and peers

Documentation:

Create/review templates

checklists

guidelines

standards for design/process/development

Create/review deliverable documents. Design documentation

r and requirements

test cases/results

Configure:

Define and govern configuration management plan

Ensure compliance from the team

Test:

Review and create unit test cases

scenarios and execution

Review test plan created by testing team

Provide clarifications to the testing team

Domain relevance:

Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.

Learn more about the customer domain identifying opportunities to provide valuable addition to customers

Complete relevant domain certifications

Manage Project:

Manage delivery of modules and/or manage user stories

Manage Defects:

Perform defect RCA and mitigation

Identify defect trends and take proactive measures to improve quality

Estimate:

Create and provide input for effort estimation for projects

Manage knowledge:

Consume and contribute to project related documents

share point

libraries and client universities

Review the reusable documents created by the team

Release:

Execute and monitor release process

Design:

Contribute to creation of design (HLD

LLD

SAD)/architecture for Applications/Features/Business Components/Data Models

Interface with Customer:

Clarify requirements and provide guidance to development team

Present design options to customers

Conduct product demos

Manage Team:

Set FAST goals and provide feedback

Understand aspirations of team members and provide guidance opportunities etc

Ensure team is engaged in project

Certifications:

Take relevant domain/technology certification

Skill Examples:

Explain and communicate the design / development to the customer

Perform and evaluate test results against product specifications

Break down complex problems into logical components

Develop user interfaces business software components

Use data models

Estimate time and effort required for developing / debugging features / components

Perform and evaluate test in the customer or target environment

Make quick decisions on technical/project related challenges

Manage a Team mentor and handle people related issues in team

Maintain high motivation levels and positive dynamics in the team.

Interface with other teams designers and other parallel practices

Set goals for self and team. Provide feedback to team members

Create and articulate impactful technical presentations

Follow high level of business etiquette in emails and other business communication

Drive conference calls with customers addressing customer questions

Proactively ask for and offer help

Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.

Build confidence with customers by meeting the deliverables on time with quality.

Estimate time and effort resources required for developing / debugging features / components

Make on appropriate utilization of Software / Hardware’s.

Strong analytical and problem-solving abilities

Knowledge Examples:

Appropriate software programs / modules

Functional and technical designing

Programming languages – proficient in multiple skill clusters

DBMS

Operating Systems and software platforms

Software Development Life Cycle

Agile – Scrum or Kanban Methods

Integrated development environment (IDE)

Rapid application development (RAD)

Modelling technology and languages

Interface definition languages (IDL)

Knowledge of customer domain and deep understanding of sub domain where problem is solved

Additional Comments:

About the Role: We are looking for a Senior Software Developer with strong experience in .NET development and Microsoft Azure to help build and scale our next-generation FinTech platforms. You will work on secure, high-availability systems that power core financial services, collaborating with cross-functional teams to deliver features that directly impact our customers. You’ll play a key role in developing backend services, cloud integrations, and microservices that are performant, secure, and compliant with financial regulations. Key Responsibilities: Design, develop, and maintain backend services and APIs using C# and .NET Core. Build and deploy cloud-native applications on Microsoft Azure, leveraging services such as App Services, Azure Functions, Key Vault, Service Bus, and Azure SQL. Contribute to architecture decisions and write clean, maintainable, well-tested code. Participate in code reviews, technical planning, and sprint ceremonies in an Agile environment. Collaborate with QA, DevOps, Product, and Security teams to deliver robust, secure solutions. Ensure applications meet high standards of security, reliability, and scalability, especially in a regulated FinTech environment. Support and troubleshoot production issues and contribute to continuous improvement. Required Skills & Qualifications: 5–8 years of experience in software development, primarily with C# / .NET Core. Strong hands-on experience with Microsoft Azure, including Azure App Services, Azure Functions, Azure SQL, Key Vault, and Service Bus. Experience building RESTful APIs, microservices, and integrating with third-party services. Proficiency with Azure DevOps, Git, and CI/CD pipelines. Solid understanding of software design principles, object-oriented programming, and secure coding practices. Familiarity with Agile/Scrum development methodologies. Bachelor’s degree in Computer Science, Engineering, or a related field.

Skills: Dot Net, C#, Azure

Must-Haves

Net with Azure Developer -Required: Function app, Logic Apps, Event Grid, Service Bus, Durable Functions

Roles & Responsibilities:

We are looking for a Client Service Coordinator who will be responsible for list fulfilment driven by client inquiries to determine maximum and targeted audience segmentation:

• Manage, confirm and prioritize incoming order inquiries.  Ensure requests are properly understood and executed.
• Set up and launch count inquiries with complex segmentation.

• Communicate status and query results to the internal Data Axle clients
• Fulfill list order rentals.
• Communicate and coordinate with Client Service team for audit documentation and billing.
• Ability to work under pressure, prioritize, meet organizational deadlines, and multi-task while maintaining quality of work product.

• Technical understanding and thorough attention to the detail of fulfilment processing requirements.
• Problem solving and logical thinking skills.
• Attention to detail and excellent follow through.
• Ability to learn and adapt to changing technologies.
• Ability to work independently or as part of a team.
• Generate reports as requested.

Qualifications:

• Graduation degree or equivalent.
• 1 to 3 years of direct marketing experience.
• Ability to communicate with individuals at all levels in the company in an articulate, professional manner.
• Ability to effectively handle multiple priorities while maintaining integrity of work.
• Excellent customer service and communication skills.
• Knowledge of MS Office and Internet technologies.
• Demonstrated skills in problem resolution.