Python+ Gcp Cloud Consultant Job at NTT DATA (Bengaluru)

Consultant - Cloud Infra & AI

Microsoft Industry Solution - Global Center for Innovation and Delivery (GCID) d...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4-10 years of industry experience with a minimum of 3+ years of Azure Infrastructure experience
Bachelor’s degree in computer science, Engineering, or equivalent professional experience
advanced technical certifications or higher education preferred
Mandatory Microsoft Azure Administrator certification (AZ104)
Azure Solutions Architect Expert (AZ305) highly preferred
Terraform Associate certification strongly valued, with proven experience in Infrastructure-as-Code (IaC) automation
Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage, with practical understanding of AI/ML workloads on cloud platforms
Experience across both application architecture and cloud infrastructure domains, with the ability to bridge development and operations teams effectively
Proficiency in Python for automation, AI integration, and scripting across infra workflows
Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation,) leveraged as infrastructure components for applications

Job Responsibility

As a full Stack Infrastructure Consultant, design, build, and optimize end-to-end cloud and on-premises infrastructure solutions, ensuring secure, scalable, and high-performing environments across the entire technology stack
Responsible for technical quality assurance, identification, and mitigation of technical risk across customer or partner deliverables delivery technology strategy aligned solutions
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners
Applies information-compliance and assurance policies to ensure stakeholder confidence
Identifies new processes and innovations to help customers or partners build and accelerate capabilities by using Microsoft technologies
Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft
Defines engagements and opportunities to use Intellectual Property (IP) and address product gaps, while leveraging existing IP and community resources to ensure consistency and improve predictability

Fulltime

GCP Cloud Engineer

We are seeking a Public Cloud DevOps Engineer to develop, implement, and operate...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Possess strong understanding of cloud technologies, networking, security, and GCP platform services
Skilled in GCP services such as VPC, Compute Instances, Cloud Storage, Kubernetes Engine and Cloud Functions
Experience in automation using Terraform, Ansible and Python
Familiar with DevOps toolchains including GCP Cloud Build/Deploy, GoCD, Docker and Kubernetes
Experienced in multi‑tenant GCP organisation structures
Demonstrate strong documentation and communication capabilities
Hold a degree in IT or equivalent, with experience in cloud computing or enterprise IT
Knowledgeable in ITIL, SOX, security regulations and web hosting concepts
Experienced in operating highly critical enterprise environments
GCP Cloud Engineer or Professional Cloud Architect certification preferred

Job Responsibility

Manage integration and administration activities across cloud solutions within an agile, iterative delivery environment
Develop prototypes, modules, and cloud platform components aligned with business outcomes
Conduct peer reviews and maintain high coding and automation standards
Drive automation and integration activities across GCP environments and tenant workloads
Build and deploy GCP infrastructure using Terraform and cloud‑native tools
Use Ansible and Python to automate routine operational tasks, including security hardening and identity management
Provide expert consultancy to support migration and transformation of on‑premises applications to cloud environments
Design and deploy network connectivity between GCP and datacentres
Support and build DevOps culture within the organisation through knowledge sharing and adoption of best practices
Troubleshoot cloud‑related issues across networking, storage, and performance layers

Fulltime

Senior Software Consultant - Python

We are looking for a skilled Backend Python Developer with strong expertise in t...

Location

Pakistan , Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or related field
5+ years of professional experience in Python development
Strong understanding of web frameworks such as FastAPI
Experience working with cloud platforms (AWS, Azure, or GCP)
Experience building or integrating AI/ML applications
Experience with databases (SQL/NoSQL)
Knowledge of data engineering concepts
Familiarity with DevOps Practices (CI/CD, Docker, Git, etc)
Strong problem-solving skills and the ability to work independently and as part of a team
Excellent communication skills

Job Responsibility

Analyze requirements, design solutions, and implement responsive full-stack web applications
Lead the design and development of complex features and systems, ensuring scalability, security, and maintainability
Take responsibility for the overall code quality of the projects, ensuring adherence to company engineering practices, such as CI/CD and secure coding
Collaborate with architects and stakeholders to ensure the technical direction aligns with business goals
Identify technical risks early in the project lifecycle and proactively work on mitigating them
Embrace a consulting mindset by translating technical requirements into business solutions and proposing scalable, efficient approaches
Mentor and guide junior engineers and mentees, fostering technical growth and sharing best practices
Assist in the development and improvement of team processes and workflows to enhance productivity and code quality
Stay updated on new technologies and trends to continuously improve technical skills

Data Engineer – Senior Consultant, GCP

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 8+ years’ experience as DE - Python, GCP, BigQuery
Object oriented programming, Python and SQL
Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms
Experience in composer or Apache Airflow and knowledge of Dataplex is a plus
Experience in dq checks implementation, any frameworks like Clouddq, Pydeequ
Good Knowledge of Dq dimensions
Experience working with GCP cloud-based infrastructure & systems
Programming skills (SQL, Python, other scripting)
Proficient in data modelling techniques and database optimization
Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing

Job Responsibility

You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery)
Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed
The role will include direct contact with clients
Modelling the data from various sources and technologies
Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities
Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
Identifying and resolving issues related to data processing, storage, or infrastructure
Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth

Cloud Technical Architect — GCP

We are seeking a senior Cloud Technical Architect with deep expertise in data la...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in IT
at least 5 years focused on cloud data architecture and data platform engineering
3+ years of experience in a presales, technical consulting, or solution architecture capacity
Hands-on experience designing and implementing data lake or data lakehouse solutions on Google Cloud Platform (GCP) and/or Alibaba Cloud
Proven experience advising enterprise clients on data modernization, cloud migration of data workloads, or analytics platform transformation
Strong proficiency in SQL
working knowledge of Python, Spark, or Scala for data engineering contexts
Familiarity with Infrastructure-as-Code (Terraform, Deployment Manager, ROS) and DevOps practices for data platform deployments
Understanding of data storage formats: Parquet, ORC, Avro, Delta, Iceberg
Experience with BI/Analytics tools: Looker, Quick BI, Power BI, Tableau, or equivalent

Job Responsibility

Lead technical discovery sessions to understand clients' current data landscape, pain points, and business goals
Design and present end-to-end data modernization architectures including data lake, data lakehouse, data mesh, and cloud data warehouse solutions on GCP and Alibaba Cloud platforms
Develop Proof of Concept (PoC) demonstrations and reference architectures aligned to client use cases
Respond to RFPs, RFIs, and RFQs by authoring high-quality technical proposals, solution narratives, and architecture diagrams
Articulate business value and ROI of proposed data modernization initiatives to both technical and executive audiences
Architect scalable, cloud-native data platforms leveraging services such as GCP and Alibaba Cloud
Design data management frameworks covering data governance, data quality, metadata management, data lineage, and master data management (MDM)
Define modern data integration patterns including batch, streaming, CDC, and event-driven architectures
Advise on data security, access control, encryption at rest/in transit, and compliance with data privacy regulations (PDPA, GDPR, Cybersecurity Law of China)
Evaluate and recommend tools across the modern data stack

Cloud Infrastructure Engineer (GCP)

We are looking for a Cloud Infrastructure Engineer (GCP) to design, implement, a...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

5–8 years of experience in cloud technologies, specialising in GCP
Expertise in GCP services such as VPC, Compute, GCS, Cloud Run, Load Balancing, IAM
Strong proficiency in Terraform for infrastructure automation
Knowledge of cloud security best practices
Experience in landing zone setup and GCP organisational structures
Scripting skills in Shell and Python
Degree in Information Technology or related field

Job Responsibility

Manage integration projects and day-to-day administration of GCP cloud solutions
Design and build modules and solutions for cloud platforms in an agile environment
Develop prototypes and optimise business outcomes through iterative development
Conduct peer reviews and maintain coding standards
Automate cloud solution deployment and integration activities
Build and deploy GCP infrastructure using Terraform and scripting tools (Shell/Python)
Provide technical consultancy for migrating on-premises applications to GCP
Design and deploy secure network connectivity between GCP and data centres

Gcp Data Engineer- Senior Consultant

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 9+ years’ experience as DE - Python, GCP, BigQuery
Object oriented programming, Python and SQL
Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms
Experience in composer or Apache Airflow and knowledge of Dataplex is a plus
Experience in dq checks implementation, any frameworks like Clouddq, Pydeequ
Good Knowledge of Dq dimensions
Experience working with GCP cloud-based infrastructure & systems
Programming skills (SQL, Python, other scripting)
Proficient in data modelling techniques and database optimization
Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing

Job Responsibility

Modelling the data from various sources and technologies
Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities
Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
Identifying and resolving issues related to data processing, storage, or infrastructure
Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations
Train and mentor junior data engineers, providing guidance and knowledge transfer

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth

Fulltime

Gcp Data Engineer- Lead Consultant

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 7+ years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems
Deep knowledge of Google Cloud Platform and cloud computing services
Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms
Proficient in database management systems such as SQL (Big Query is a must), NoSQL
Programming skills (SQL, Python, other scripting)
Proficient in data modeling techniques and database optimization
Knowledge of at least one orchestration and scheduling tool (Airflow is a must)
Experience with data integration tools and techniques, such as ETL and ELT
Knowledge of modern data transformation tools (such as DBT, Dataform)
Excellent communication skills

Job Responsibility

Part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery)
Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements
The role will include direct contact with clients
Modelling the data from various sources and technologies
Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities
Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
Identifying and resolving issues related to data processing, storage, or infrastructure
Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Fulltime

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Python+ Gcp Cloud Consultant

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