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

• Information Security as Security Analyst (SOC)
• Good understanding of security solutions like Anti-virus, DLP, Proxy, Firewall filtering/monitoring, IPS, Email Security, EPO, WAF etc.
• Hands on experience withIBM QRadar, ArcSight SIEM tool for logs monitoring and analysis,Service now ticketing tool.
• Good knowledge on networking concepts including OSI layers,subnet, TCP/IP, ports, DNS, DHCP, firewall monitoring, content filtering, check point etc.

We are actively looking for react and node js role from the top MNC company

Skills : React.js , Node.js , redux, Typescript

• 4-8 years of experience in Functional testing with good foundation in technical expertise
• Experience in the Capital Markets domain is MUST
• Exposure to API testing tools like SoapUI and Postman
• Well versed with SQL
• Hands on experience in debugging issues using Unix commands
• Basic understanding of XML and JSON structures
• Knowledge of FitNesse is good to have
• Should be early joinee.

We are looking for a SAP PLM DMS Consultant with in-depth knowledge of Document Management System configuration and integration. Candidate must be proficient in DMS object links, document info records, status management, and CAD interface. Experience in managing engineering change processes is preferred.

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

We are seeking a Senior Software Development Engineer – Data Engineering with 5-8 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. 

Key Roles & Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines using Apache Spark, PySpark, Databricks, and Snowflake.
• Implement real-time and batch data processing workflows in cloud environments (AWS, Azure, GCP).
• Develop high-performance, scalable data pipelines for structured, semi-structured, and unstructured data.
• Work with Delta Lake and Lakehouse architectures to improve data reliability and efficiency.
• Optimize Snowflake and Databricks performance, including query tuning, caching, partitioning, and cost optimization.
• Implement data governance, security, and compliance best practices.
• Build and maintain data models, transformations, and data marts for analytics and reporting.
• Collaborate with data scientists, analysts, and business teams to define data engineering requirements.
• Automate infrastructure and deployments using Terraform, Airflow, or dbt.
• Monitor and troubleshoot data pipeline failures, performance issues, and bottlenecks.
• Develop and enforce data quality and observability frameworks using Great Expectations, Monte Carlo, or similar tools.

Basic Qualifications:

• Bachelor’s or Master’s Degree in Computer Science or Data Science.
• 5–8 years of experience in data engineering, big data processing, and cloud-based data platforms.
• Hands-on expertise in Apache Spark, PySpark, and distributed computing frameworks.
• Strong experience with Snowflake (Warehouses, Streams, Tasks, Snowpipe, Query Optimization).
• Experience in Databricks (Delta Lake, MLflow, SQL Analytics, Photon Engine).
• Proficiency in SQL, Python, or Scala for data transformation and analytics.
• Experience working with data lake architectures and storage formats (Parquet, Avro, ORC, Iceberg).
• Hands-on experience with cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
• Experience in workflow orchestration tools like Apache Airflow, Prefect, or Dagster.
• Strong understanding of data governance, access control, and encryption strategies.
• Experience with CI/CD for data pipelines using GitOps, Terraform, dbt, or similar technologies.

Preferred Qualifications:

• Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
• Experience in BI and analytics tools (Tableau, Power BI, Looker).
• Familiarity with data observability tools (Monte Carlo, Great Expectations).
• Experience with machine learning feature engineering pipelines in Databricks.
• Contributions to open-source data engineering projects.

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.

Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.

General Summary:

As a Digital Data Management Architect, you will design, implement, and optimize advanced data management systems that support processing billions of digital transactions, ensuring high availability and accuracy. You will leverage your expertise in developing identity graphs, real-time data processing, and API integration to drive insights and enhance user experiences across digital platforms. Your role is crucial in building scalable and secure data architectures that support real-time analytics, identity resolution, and seamless data flows across multiple systems and applications.

Roles and Responsibilities:

1. Data Architecture & System Design:

• Design and implement scalable data architectures capable of processing billions of digital transactions in real-time, ensuring low latency and high availability.
• Architect data models, workflows, and storage solutions to enable seamless real-time data processing, including stream processing and event-driven architectures.

1. Identity Graph Development:

• Lead the development and maintenance of a comprehensive identity graph to unify disparate data sources, enabling accurate identity resolution across channels.
• Develop algorithms and data matching techniques to enhance identity linking, while maintaining data accuracy and privacy.

1. Real-Time Data Processing & Analytics:

• Implement real-time data ingestion, processing, and analytics pipelines to support immediate data availability and actionable insights.
• Work closely with engineering teams to integrate and optimize real-time data processing frameworks such as Apache Kafka, Apache Flink, or Spark Streaming.

1. API Development & Integration:

• Design and develop real-time APIs that facilitate data access and integration across internal and external platforms, focusing on security, scalability, and performance.
• Collaborate with product and engineering teams to define API specifications, data contracts, and SLAs to meet business and user requirements.

1. Data Governance & Security:

• Establish data governance practices to maintain data quality, privacy, and compliance with regulatory standards across all digital transactions and identity graph data.
• Ensure security protocols and access controls are embedded in all data workflows and API integrations to protect sensitive information.

1. Collaboration & Stakeholder Engagement:

• Partner with data engineering, analytics, and product teams to align data architecture with business requirements and strategic goals.
• Provide technical guidance and mentorship to junior architects and data engineers, promoting best practices and continuous learning.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 10+ years of experience in data architecture, digital data management, or a related field, with a proven track record in managing billion+ transactions.
• Deep experience with identity resolution techniques and building identity graphs.
• Strong proficiency in real-time data processing technologies (e.g., Kafka, Flink, Spark) and API development (RESTful and/or GraphQL).
• In-depth knowledge of database systems (SQL, NoSQL), data warehousing solutions, and cloud-based platforms (AWS, Azure, or GCP).
• Familiarity with data privacy regulations (e.g., GDPR, CCPA) and data governance best practices.

This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.

5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.

· Bachelor's in computer science, software engineering or similar

· Hands-on Sitecore development experience.

· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.

· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies

· Experience with REST, Web Services, Web application frameworks

· Experience with build automation tools

· Experience in TDD and software testing frameworks

· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)

· Strong adherence to a consistent delivery methodology and associated deliverable generation

Key Objectives/Responsibilities of this Role:

• Understand the UI needs, backend design and data design and create the backend code for the same
• Backend development in NodeJs 12 & above, ExpressJs, NestJs, RESTful web services, Docker, MongoDB, Azure AKS or Kubernetes
• Collaboration with other team members (Architect, UI, backend developers, DBA, Data analytics team) to work in coherence
• Working experience into Agile and scrum methodologies
• Manage SDEs and Interns to drive the deliverables

Mandatory Skillset & Tools: NodeJs 12 and above, ExpressJs, NestJs, Writing Unit Tests , Scheduler, Mongo DB, working knowledge in Kubernetes (AKS), GIT version control, Event driven design, Microservices, con-currency, RESTful web-services, Docker

Primary Skill: NodeJs 12 & above ExpressJs, NestJs, Microsoft development platform, Testing & Debugging skills, Postman, CI/CD pipeline, Docker, Docker hub, Writing UNIT tests

Secondary Skill: Load & performance testing, testing REST Web services, Basic shell commands, Linux, Good written, verbal and presentation skills, Soft spoken, Pro-active

Internship Duties

As with any internship there are a mixture of duties, this internship will include some admin tasks as well as some great HR experience during your internship in a busy HR department.

Duration : 

4 months Internship part time Full time

ROLES AND RESPONSIBILITIES

• Organize and maintain personnel records
• Update internal databases (e.g. record sick or maternity leave)
• Prepare HR documents, like employment contracts and  new hire guides
• Revise company policies 
• Liaise with external partners, like insurance vendors, and ensure legal compliance
• Create regular reports and presentations on HR metrics (e.g. turnover ratios)
• Answer employees queries about HR-related issues
• Assist payroll department by providing relevant employee information (e.g. leaves of absence, sick days and work schedules)

• Participate in HR projects (e.g. help organize a job fair event)

• Gathering payroll data like working hours, leaves and bank accounts
• Screening resumes and application forms
• Assist in end to end recruitment
• Record all resumes and personnel documents in HR electronic files
• File physical HR records in HR filing cabinet
• Liaise with recruitment agencies
• Proof reading and editing consultant profiles
• Liaise with line managers recording HR issues
• Scanning and emailing HR documents
• Create Employee packs
• Coordinate Induction appointments
• Create interview appointments
• Creating job advertisements
• Phone screen applicants
• Data Entry and general administration
• Any extra duties the HR Consultant requires
• Complete appropriate paperwork for new and existing employees
• Send off training invoices to finance and liaise with them about getting it approved

• Provide administration support
• Corporate Tie ups via email, Linkedin, social media and calling for Placements 

• Understanding the product platform and its value add for related businesses
• Preparing monthly/quarterly/annualreports
• Perform other activities assigned by Management. 
• A flair for establishing an instant rapport with clients.
• Dynamic, aggressive, result oriented and a self-starter.
• Knowledge of MS office and related tools

Required Experience, Skills and Qualifications

Qualification: MBA-HR

Stipend-3000

Skills- Interpersonal skills, Communication skills, convincing skills.

You’ll be joining the engineering team responsible for delivering SaaS and on-premise solutions that orchestrate case data workflows and provide data driven legal insights for our clients. You will be leading the development, maintenance and scaling of our strategic initiatives - using a variety of distributed systems and cloud-technology stacks, driving our next level of growth. As an early member of our small team, you will have ample opportunity to lead and scale the product and the team. 

Responsibilities

• Work with product management to understand customers' case data workflows to translate their pain points to requirements.
• Gain a solid understanding of customer backend pipelines and integration surfaces.
• Breakdown large projects into potentially shippable incremental units within a timeframe.
• Understand the current system architecture and design sub systems.
• Be hands-on and build end-to-end new features and support existing features.
• Engage in all stages of the product development life cycle.
• Adopt a customer-centric and iterative mindset.
• Promote engineering best practices such as API design standards, coding standards, code test coverage, code reviews, CI/CD, and documentation.
• Work with lead engineers and mentor junior engineers to deliver on large initiatives.
• Our tech stack is varied - you will start with Ruby/Rails, JavaScript/React, Postgres, Redis, Sidekiq, Heroku, AWS, and more.

Required Skills: 

• Exposure to a variety of stacks building SaaS platforms and/or on-premise solutions.
• Experience with building sub-systems or services in a distributed system.
• Exposure to one or more backend architectures such as event-driven, micro services, and cloud architectures.
• Experience troubleshooting performance and/or scale issues.
• Strong in RDBMS and/or NoSQL databases.
• Proficient in one or more scripting languages - experience in Ruby/Rails and JavaScript/React is a plus.
• Strong in data structures, algorithms, object-oriented programming, and design patterns.
• Ability to effectively communicate and collaborate with both technical and nontechnical team members.
• Prior experience in the legal tech industry is a plus.

Years of Experience : 5+ years

Educational Qualification: BE or BCA or MCA OR Msc IT