
Key Responsibilities:
- Develop, maintain, and optimize data pipelines using DBT and SQL.
- Collaborate with data analysts and business teams to build scalable data models.
- Implement data transformations, testing, and documentation within the DBT framework.
- Work with Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
- Use Python (preferred) for automation, scripting, and additional data processing as needed.
Required Skills:
- 4–6 years of experience in data engineering or related roles.
- Strong hands-on expertise with DBT and advanced SQL.
- Experience working with modern data warehouses, preferably Snowflake.
- Knowledge of Python for data manipulation and workflow automation (preferred but not mandatory).
- Good understanding of data modeling concepts, ETL/ELT processes, and best practices.

About Wissen Technology
About
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.
With offices in 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.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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About the job
Must-Have Skills
- 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
- Strong SQL — advanced query optimization, indexing, partitioning strategies
- Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
- Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
- Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
- Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
- ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
- Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management
Strongly Preferred
- Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
- Programming — Python or Scala for pipeline development
- API/microservices architecture exposure — understanding how data systems integrate with application layers
- Experience with data mesh / data lake house architectures
- Prior experience presenting architecture decisions to leadership/stakeholders
Job Summary:
The Incident Response (IR) Lead manages a team of experts with diverse skill setsincluding Security Operations Center (SOC), Forensics, and technical Subject Matter Expert (SME) advisory. The IR Lead is specifically tasked with managing all aspects of an Incident Response engagement to include incident validation, monitoring, containment, log analysis, system forensic analysis, and reporting. The Incident Response Lead is also responsible for building the relationship with the client and client’s counsel and ensuring the engagement’s objectives and expectations are met and executed successfully as documented in the statement of work. You will leverage a solid foundation of technical expertise in Cybersecurity, Incident Response, and Digital Forensics to successfully execute your responsibilities.
ROLES AND RESPONSIBILITIES
· Accurately collects information from the client concerning the incident to include but not be limited to the client’s environment, size, technology, and security threats. In addition, the IR Lead is responsible for capturing all client’s expectations and objectives throughout the engagement to ensure successful delivery.
· The main point of contact manages and participates in all communications with the client and the client’s counsel during the engagement. The IR Lead sets the cadence for communications.
· Management and Coordination of all technical efforts for the IR engagement to drive the process forward through; tool deployment, ransomware decryption, restoration, and recovery efforts, system rebuilds, system, application, and network administration tasks.
· Coordinates with the Ransom Specialist when ransom negotiations are needed. Ensures updates regarding ransom status are delivered to the client and counsel in a timely fashion.
· Manages and coordinates the onsite efforts with the Onsite Lead or team ensuring they understand and can execute the objectives for the onsite work. Additional responsibilities with onsite efforts include ensuring communications are frequent and getting the daily onsite update communicating these back to the IR Director and/or IR Ops Associate for their Tiger Team.
· Ensures the Forensic Lead is coordinating the collection of data necessary for the investigation.
· Ensures SentinelOne is deployed on time and adding value.
· Communicates with sales when appropriate for SentinelOne, provide client contact.
· Communicates in tandem with the Forensic Lead pertinent findings to the client during the investigation.
· Follows up with the SOC Lead on SentinelOne alerts and encourages/coordinates client participation with the product.
· Accountable for final report review, ensuring the report is accurate, professional, and meets the objective of client counsel.
· Other duties as assigned.
DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required personnel so classified.
Role Description : Skills & Knowledge
1. Experience leading scoping calls
2. Strong background and practical hands-on experience with Windows or Linux System and Network Administration, Security DevOps, Incident Response and Digital Forensics, or Security Engineering
3. Practical experience performing in a functional role including but not limited to one or more of the following disciplines: computer forensics, Incident Response, data analytics, Security Operations, and Engineering, Digital Investigations
4. Possesses strong verbal and written communication skills
JOB REQUIREMENTS
· Bachelor's degree in Computer Science, Computer Engineering, Information Assurance, Forensic Sciences, or related technical field; Graduate degree preferred
· 10+ years experience leading full-cycle incident response investigations and communicating with the client/counsel/carriers
· Must be eligible to work in the US without sponsorship
WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of this job.
PHYSICAL DEMANDS
· No physical exertion is required.
· Travel within or outside of the state.
· Light work: Exerting up to 20 pounds of force occasionally, and/or up-to 10 pounds of force as frequently as needed to move objects.
Job Summary
We are looking for a reliable and organized Admin Executive to handle day-to-day administrative operations and ensure smooth functioning of the office. The ideal candidate should be detail-oriented, proactive, and capable of managing multiple tasks efficiently.
Key Responsibilities
- Manage daily office operations and administrative tasks
- Maintain office records, files, and documentation (physical & digital)
- Coordinate with vendors for office supplies, maintenance, and services
- Handle incoming calls, emails, and correspondence
- Assist HR with attendance, leave records, onboarding documentation
- Support finance team with bill tracking, invoices, and expense records
- Schedule meetings, manage calendars, and arrange travel if required
- Ensure office policies and procedures are followed
- Maintain cleanliness, safety, and discipline within the office
- Act as a point of contact between management and staff for admin matters
Required Skills & Qualifications
- Bachelor’s degree in any discipline
- Strong organizational and multitasking abilities
- Problem-solving mindset and attention to detail
Job Title: Android Developer
Experience: 3–5 Years
Location: Bangalore, India
Job Overview:
We are looking for a skilled Android Developer with 3–5 years of experience to join our team in Bangalore. The ideal candidate will be responsible for developing, enhancing, and maintaining high-quality Android applications, ensuring performance, quality, and responsiveness.
Key Responsibilities:
- Design and build advanced applications for the Android platform
- Collaborate with cross-functional teams to define, design, and ship new features
- Write clean, maintainable, and efficient code
- Identify and fix bugs, improve application performance
- Ensure the best possible performance, quality, and responsiveness of applications
- Continuously discover, evaluate, and implement new technologies
Required Skills:
- Strong experience in Java and/or Kotlin
- Experience with Android SDK, Android Studio
- Knowledge of MVVM / MVP architecture patterns
- Experience with RESTful APIs and third-party integrations
- Familiarity with Git or other version control tools
- Experience with SQLite / Room Database
- Understanding of UI/UX principles and Material Design guidelines
Preferred Qualifications:
- Experience with Jetpack components (LiveData, ViewModel, Navigation)
- Knowledge of Dependency Injection (Dagger/Hilt)
- Experience with Firebase services
- Familiarity with Agile/Scrum methodologies
Soft Skills:
- Strong problem-solving skills
- Good communication and teamwork abilities
- Ability to work independently and meet deadlines
Education:
- Bachelor’s degree in Computer Science, Engineering, or related field
- Strong Project / client Management Profile
- Mandatory (Experience 1) – Must have 6+ YOE in design project management.
- Mandatory (Experience 2) – Must have 2+ yrs of team lead experience (design team of 3+ designers)
- Mandatory (Skills 1) – Should also expertise in handling multiple parallel projects
- Mandatory (Skills 2) – Must have strong client management and business development skills, including taking creative briefs, strategy pitching, scope/proposal creation, and project and client acquisition.
- Mandatory (Skills 3) – Should have experience in Project management: scheduling, planning, budgeting, billing cycles, reporting, and seamless coordination across design, strategy, accounts, and content teams.
- Mandatory (Skills 4) – Expertise in graphic design and design strategy with the ability to guide and review creative output to meet the putput as per the brand standards is a must
- Mandatory (Company) – Design studios, UI/UX agencies, Advertising agencies, etc.
RESPONSIBILITIES:
• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.
• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.
• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.
• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.
• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.
• You’ll be reporting directly to the head of the engineering and will be
instrumental in discussing and explaining the progress to top management and other stake holders.
• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.
REQUIREMENTS:
• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems
• Stay updated with latest research in machine learning esp. recommender systems and audio signals
• Have taken scalable ML services to production, maintained and managed their lifecycle
• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models
Minimum Qualifications
• 13+ years of industry experience doing applied machine learning
• 5+ years of experience in tech team management
• Fluent in one or more object oriented languages like Python, C++, Java
• Knowledgeable about core CS concepts such as common data structures an algorithms
• Comfortable conducting design and code reviews
• Comfortable in formalising a product or business problem as a ML problem
• Master’s or PhD degree in Computer Science, Mathematics or related field
• Industry experience with large scale recommendation and ranking systems
• Experience in managing team of 10-15 engineers
• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow
- Driving Customer Success Outcomes: Increasing renewals, reducing churn, identifying up-sell opportunities, influencing increased life-time-value through higher product adoption and customer health scores, and driving growth through increased advocacy and customer referenceability, for SMB customers.
- Leading the overall journey for Customer Success: Mapping the customer journey and developing interventions for each step, driving engagement with customer marketing, analyzing data and customer feedback, and continuously improving the customer experience.
- Managing Customer Success Activities such as onboarding, training, services, customer success management, support, account management, up-sells, and advocacy.
- Building and Leading a World Class Customer Success team: Recruiting, training, and managing high potential individuals including Customer Success Reps, Operations, and Support.
- Measuring the effectiveness of the Customer Success team with key goals, operational metrics, and outcomes for the team
- Technology and Systems for Effectiveness: Setting up systems and tools for managing customer relationships, tracking data, and improving referencability.
- Working Closely with customer stakeholders (Sales, Product, and Marketing) to establish a stronger customer relationship and experience
- Aligning with Product Marketing to market to existing customers and increasing engagement
- Aligning with Product Managers for driving product roadmap based on customer feedback and usage data
- Aligning with Sales for driving retention and up-sells by improving engagement and retention.
What you need to have:
- You’ve at least had around 4-12 years in customer success roles
- Exp in SAAS, handled US market and minimum 2 yrs in team handling.
- You’ve preferably worked in SaaS, Ad-Tech, and/ or Analytics, selling to the US market
- You have strong customer empathy, a desire to drive revenue and business outcomes
- You drive outcomes through persuasion, negotiation and building consensus with external and internal stakeholders
- You’re a leader with the ability to inspire others and drive outcomes as a unit
- You have excellent communication and presentation skills
- You’re analytical and process-oriented, with the ability to make data-aware decisions
- You have a great understanding of SaaS business models and its value drivers










