
As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.
The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.
Must Have Primary Skills
Data Engineering
- 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
- Strong experience designing scalable batch and streaming data pipelines on AWS.
- Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
- Strong understanding of data quality, troubleshooting, debugging, and production support.
DBT & Data Warehousing
- Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
- Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.
Programming & Querying
- Strong expertise in:
- SQL (Analytical Queries, Window Functions, Stored Procedures)
- Python
- Spark / PySpark
- Strong experience in Spark/PySpark performance tuning and optimization.
Lakehouse & Apache Iceberg
- Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
- Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
- Strong understanding of:
- Data Modeling
- Partitioning
- File Formats
- Lakehouse / Data Lake Architectures
AWS Cloud Services
Hands-on experience with AWS services including:
- AWS Glue
- Amazon MWAA
- Amazon EMR
- Amazon Redshift
- Amazon S3
- Amazon Athena
- AWS Glue Catalog
- Amazon Aurora PostgreSQL
- AWS Lambda
- Amazon EC2
- Amazon DynamoDB
- Amazon API Gateway
- Amazon CloudWatch
- Amazon SQS
- Amazon SNS
- Amazon EventBridge
- AWS Secrets Manager
- AWS IAM
Development Practices
- Experience with CI/CD.
- Strong knowledge of Git.
- Familiarity with Data Engineering best practices.
Soft Skills
- Strong communication skills.
- Excellent problem-solving ability.
- Stakeholder management experience.
Preferred Certification
- AWS Data Engineer Associate or equivalent AWS Certification.
Good to Have Skills
- AWS Step Functions
- Terraform / Infrastructure as Code (IaC)
- Kafka
- Hive
- HDFS
- Other Big Data technologies
- Experience using GenAI-assisted development tools such as:
- GitHub Copilot
- Cursor
- Kiro
- Similar AI coding assistants
- ClickHouse Database
- Telecom / Mobile Network domain knowledge
- AtScale design and development
- Docker
- Kubernetes

About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Bengaluru, Mumbai, and Trivandrum
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We are looking for an experienced, proactive, and self-driven Marketing Executive who can independently manage and execute the overall marketing function. This role requires a strong understanding of both traditional and digital marketing, combined with the ability to plan, implement, and monitor marketing activities end-to-end.
The ideal candidate will take full ownership of marketing initiatives, coordinate with internal teams, and drive brand visibility, lead generation, and marketing performance with minimal supervision.
Key Responsibilities:
1. Marketing Strategy & Execution (Core Responsibility)
• Develop and execute quarterly and annual marketing plans.
• Plan and implement campaigns for product promotion, lead generation, and brand building.
• Ensure consistent branding and messaging across all channels.
• Collaborate with sales, product, and leadership teams to align marketing initiatives with business goals.
2. Digital Marketing
PPC & Lead Generation
• Plan, manage, and optimise Google Ads and other paid campaigns. • Track performance metrics (CTR, CPC, CPA, conversions, ROI) and refine campaigns. • Develop effective ad copies and assist with landing page enhancements. SEO & Website Management
• Implement on-page/off-page SEO strategies to improve organic search visibility. • Conduct keyword research, optimise content, and review analytics. • Coordinate with design/content teams to ensure SEO standards are met.
3. Brand, Content & Communication
• Oversee the creation of marketing content — blogs, emails, social posts, brochures, case studies, videos, and presentations.
• Maintain brand guidelines and ensure cohesive communication across the organisation.
• Work with internal and external creative teams for design and content execution.
4. Exhibitions, Events & Offline Marketing
• Lead planning and execution of marketing for exhibitions and trade shows. • Support stall layout planning, branding materials, and event promotions. • Manage lead handling and coordination before, during, and after events.
5. Lead Management & CRM Collaboration
• Ensure prompt assignment of incoming leads to the respective territory managers. • Track lead flow, progress, and campaign effectiveness.
• Work closely with the sales team to improve follow-up quality and conversion tracking.
6. Market Research & Data Management
• Conduct competitive research, pricing insights, and industry analysis. • Prepare scraping data and market intelligence reports.
• Support management with MIS and performance dashboards.
7. Performance Analysis & Reporting
• Monitor marketing KPIs across both digital and offline activities.
• Prepare regular performance reports with insights and improvement suggestions. • Conduct A/B tests and track results for continuous optimisation.
Requirements:
• Excellent communication, planning, and coordination skills.
• 3–5+ years of experience in a marketing role (preferably B2B).
• Strong understanding of digital marketing (PPC, SEO, analytics).
• Ability to independently manage marketing activities with high ownership. • Proficiency in tools: Google Ads, Analytics, Search Console, MS Office, CRM systems. • Understanding of website platforms (WordPress, CMS tools).
• Ability to manage multiple projects and meet deadlines.
Desirable Skills:
• Experience with LinkedIn, Facebook, and Instagram marketing.
• Knowledge of email marketing tools or automation platforms.
• Creative thinking and copywriting ability.
• Google certifications are an added advantage.
What We Are Looking For
CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.
Key Responsibilities-
AI and Agentic Platform Architecture
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• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.
• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.
• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.
• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance
• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.
• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.
• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.
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Cloud and Platform Engineering
• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.
• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.
• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.
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Technical Leadership
• Translate product and business requirements into clear technical designs and implementation plans.
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• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.
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• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.
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• Experience supporting real-time and batch data processing at scale.
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Job Title: Incident Manager – Fault Management
Function: Incident, Problem & Change Management
Department: NOC Operations / Command Centre / Service Operations
Experience: 6–10 Years
Employment Type: Full-Time
Shift: 24x7 Rotational (as per business requirement)
Location: Gurgaon / Mumbai / Pune (or as per project needs)
Job Summary
We are looking for an experienced Incident Manager to lead fault management operations, ensuring rapid restoration of services and minimal business impact. The role focuses on Incident, Problem, and Change Management, acting as a central point of coordination during major incidents and ensuring compliance with ITIL processes, SLAs, and governance standards.
The ideal candidate will have strong operational leadership, stakeholder communication, and escalation management skills within complex IT / Telecom environments.
Key Responsibilities
Incident Management
- Own and manage P1/P2/P3 incidents end-to-end in line with ITIL standards.
- Act as Incident Commander during major incidents, leading bridge calls and coordinating technical teams.
- Ensure timely incident detection, logging, categorization, prioritization, and resolution.
- Drive restoration efforts and ensure adherence to SLAs, OLAs, and KPIs.
- Provide regular incident status updates to customers, management, and stakeholders.
- Ensure proper incident documentation, closure notes, and audit readiness.
Fault Management & Monitoring
- Oversee proactive fault detection through NOC monitoring tools.
- Ensure alarms and alerts are correlated, triaged, and assigned appropriately.
- Coordinate with L2/L3 engineering teams for fault isolation and resolution.
- Identify recurring faults and initiate preventive actions.
Problem Management
- Lead Root Cause Analysis (RCA) for recurring and major incidents.
- Facilitate Post-Incident Reviews (PIRs) and track corrective and preventive actions (CAPA).
- Maintain problem records and trend analysis to reduce repeat incidents.
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Change Management
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- Participate in CAB (Change Advisory Board) meetings.
- Ensure changes are executed as per approved windows with pre/post validation.
- Track change-related incidents and drive improvement actions.
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- Coordinate with internal teams, service providers, OEMs, and vendors.
- Manage customer communication during outages and critical events.
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- Security (Firewalls, SOC coordination)
- Data Center / Cloud (basic understanding)
- Familiarity with monitoring tools (SolarWinds, Netcool, Splunk, PRTG, etc.).
- Hands-on experience with ITSM tools such as ServiceNow, Remedy, Helix, Jira.
Soft Skills
- Strong leadership and decision-making abilities during high-pressure situations.
- Excellent verbal and written communication skills.
- Strong stakeholder and customer management capability.
- Analytical mindset with attention to detail.
- Ability to work independently and in cross-functional teams.
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Experience
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- SLA and availability compliance.
- Reduction in repeat incidents.
- Quality and timeliness of RCA reports.
- Change success rate and reduction in change-related incidents.
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- Communication Allowance
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