Data Scientist

Position Overview:

As a Senior Support Engineer specializing for Storage and Network monitoring in an AI enabled Data center as well as Cloud, you will play a critical role in interacting with Customer on routine basis to support the product. Your expertise in debugging and solving complex problems is essential to address the complex product issues when pitched in real world. With a methodical approach on problem solving and being Customer’s advocate in the organization is crucial for success of the position

Work Location: Pune

Job Type: Hybrid

Key Responsibilities:

- Monitor for, triage, and resolve live issues in mission critical enterprise environments.

-Active Customer engagements: Work daily with customers in a proactive manner providing full lifecycle support and implementing solutions to maximize value to the customer.

-Debug issues and propose solutions: Understand the domain, product, key customer use-cases, and success-criteria, work towards these by implementing solutions the current issues and in time propose new solutions.

-Agile Development: Collaborate within an agile development environment to deliver on aggressive schedules, maintaining a high standard of quality in communications, documentation and tracking various issues.

-Feature Ownership: Take ownership of features, customers ask from inception to delivery, working with Product Management, Engineering stakeholders, Ensuring product meets the customers’ requirements and align with the overall product vision.

-Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency.

-Implement Best Practices & focus on automation: In cross geo, multi-product support org, propose and implement Support centric best practices on collaboration, documentation, tracking and measuring success, and automate the repetitive tasks to ensure efficiency.

-Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals.

-Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

- Strong domain knowledge in Networking and/or Storage Networking technologies and practices.

- 5+ years of practical experience in networking domain (an additional storage networking experience is a plus), with a focus on supporting enterprise customers.

-Strong Linux system administration skills with focus on Full-Stack troubleshooting, LAMP style hosted applications, shell scripting and performance tuning.

-Experience with Windows administration including but not limited to AD, Group Policy administration, performance monitoring, and performance tuning

- Broad experience with monitoring fundamentals and familiarity with data collection methods for key infrastructure technologies from AJAX to Xenserver

- Proven experience in troubleshooting and debugging enterprise products deployed in AWS, Cloud, and Kubernetes environments.

- Strong communication and interpersonal skills with the ability to interact effectively with customers and internal teams across geographies and time zones.

-Excellent problem-solving abilities, with a keen attention to detail and a systematic approach to issue resolution

- Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and deadlines effectively.

-Customer-centric mindset, with a passion for delivering exceptional technical support and ensuring customer satisfaction.

Why Join Us:

- Opportunity to be a key contributor in the development of a leading performance monitoring company specializing in AI-powered Storage and Network monitoring.

- Collaborative and innovative work environment.

- Competitive salary and benefits package.

- Professional growth and development opportunities.

- Chance to work on cutting-edge technology and products that make a real impact.

If you are a hands-on technologist with a proven track record of designing and delivering high-quality features on aggressive schedules and possess strong expertise in microservices-based streaming architectures, we invite you to apply and help us redefine the future of performance monitoring.

Job Title : Data Engineer – GCP + Spark + DBT

Location : Bengaluru (On-site at Client Location | 3 Days WFO)

Experience : 8 to 12 Years

Level : Associate Architect

Type : Full-time

Job Overview :

We are looking for a seasoned Data Engineer to join the Data Platform Engineering team supporting a Unified Data Platform (UDP). This role requires hands-on expertise in DBT, GCP, BigQuery, and PySpark, with a solid foundation in CI/CD, data pipeline optimization, and agile delivery.

Mandatory Skills : GCP, DBT, Google Dataform, BigQuery, PySpark/Spark SQL, Advanced SQL, CI/CD, Git, Agile Methodologies.

Key Responsibilities :

• Design, build, and optimize scalable data pipelines using BigQuery, DBT, and PySpark.
• Leverage GCP-native services like Cloud Storage, Pub/Sub, Dataproc, Cloud Functions, and Composer for ETL/ELT workflows.
• Implement and maintain CI/CD for data engineering projects with Git-based version control.
• Collaborate with cross-functional teams including Infra, Security, and DataOps for reliable, secure, and high-quality data delivery.
• Lead code reviews, mentor junior engineers, and enforce best practices in data engineering.
• Participate in Agile sprints, backlog grooming, and Jira-based project tracking.

Must-Have Skills :

• Strong experience with DBT, Google Dataform, and BigQuery
• Hands-on expertise with PySpark/Spark SQL
• Proficient in GCP for data engineering workflows
• Solid knowledge of SQL optimization, Git, and CI/CD pipelines
• Agile team experience and strong problem-solving abilities

Nice-to-Have Skills :

• Familiarity with Databricks, Delta Lake, or Kafka
• Exposure to data observability and quality frameworks (e.g., Great Expectations, Soda)
• Knowledge of MDM patterns, Terraform, or IaC is a plus

As a Product Quality Analyst, you will play a critical role in ensuring that our platform delivers a polished, intuitive, and dependable experience. You will work closely with product and engineering to investigate issues, validate new functionality, and identify opportunities for improvement across the product. You will also contribute to evaluation dataset improvements when relevant to product performance. This role is ideal for someone who enjoys understanding how systems behave, digging into root causes, and shaping a high-quality product through thoughtful testing and analysis.

Requirements

• Strong written and verbal communication skills.
• 5+ years of experience in QA, product operations, or a related role.
• Demonstrated product intuition: ability to understand user workflows, diagnose root causes, and propose improvements.
• Detail-oriented, analytical, and comfortable navigating ambiguous or incomplete information.
• Familiarity with LLMs, AI workflows, or evaluation datasets is a plus.

Responsibilities

• Perform structured QA activities, including exploratory testing, regression testing, and release validation.
• Analyze product behavior and real user interactions to identify bugs, UX issues, and improvement opportunities.
• Write clear, well-scoped engineering tasks with reproduction steps, expected behavior, and impact assessments.
• Collaborate closely with product and engineering teams to prioritize issues and confirm fixes.
• Maintain feedback loops that align observed product behavior with roadmap decisions and customer needs.
• Contribute as needed to evaluation dataset improvements that support product accuracy and reliability.
• Help refine internal QA workflows and product discovery processes.

• Must have hands-on experience in web applications development, and open-source technologies stack (Node.JS, React JS, Gatsby, PHP, etc.).
• Resolution conflicts and understands the logical implementation to find optimal solutions.
• Experience in developing end-to-end solutions and backend architecture.
• Ability to apply advanced concepts, and contribute to the development of innovative principles and ideas.
• Advanced knowledge of back-end configuration and deployments.
• Advanced understanding of RDBMS and NoSQL databases.
• Advanced knowledge Git source code management.
• Minimum 8 years of experience required.

Responsibilities:

• Writing clean and efficient codes for Android applications
• Monitoring the performance of live apps and work on optimizing them at the code level
• Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance
• Performing unit and instrumentation tests on code
• Collaborating with cross-functional teams to define and design new features
• Staying up to date with new mobile technology trends, applications, and protocols

Key Requirements:

• You have experience in publishing an application on the Google Play store
• Familiarity with RESTful APIs to effectively integrate Android applications
• Proficient understanding of code versioning tools such as Git
• Familiarity with various testing tools
• You are a problem solver with good analytical skills

Skills: Java, Android SDK & NDK, MVVM/MVC/MVP

• 2+ years of experience
• Excellent technical skills on Salesforce or similar applications which include building customized applications using JAVA, MIcroservices, Apex classes and Triggers, Visualforce Pages, Apex Jobs, Lightning Component, Integration, Process Builder or configure components/Flexi pages to implement expected functionality.
• Worked with different tools like Copado, Data loader, Jira, VS Code, Eclipse, SonarQube, etc.
• Able to Manage deployment activities, code review, and deployment using data loader
• Implementation of Entitlement and Milestones, platform events, visual flows, etc.
• Implement web services using REST API/SOAP API.
• Inbound / Outbound Integration.
• Involvement in Solution designing and Estimations.
• Create Email Templates, Page Layouts, Record Types, Custom Fields, Lightning Record Pages, etc.
• Performed pre-deployment and post-deployment activities.
• Experience in Workflows, custom metadata
• Implementing DevOps in Enterprise application
• For Support Developer – Problem-solving mindset

Good to have –

• BFSI industry experience
• Agile project management experience