|
Strategic Activities · Understand the current technology landscape and identify the critical gaps in terms of the overarching requirements from various core functions (commercial, operations, etc.) · Decide on and design the overall technology strategy and roadmap to fit the organizational need for Air India · Hold the team accountable to drive enterprise level digital transformation projects that align with the overall organizational strategy and different requirements of the functions · Provide guidance and recommendations to the CDTO and senior leadership on different enterprise and data architecture options and make the business case for selecting the appropriate model · Act as an SME of Digital/ Technology Architecture for the senior management Digital and Technology Architecture · Head the digital transformation and innovation projects from idea generation to new ventures in close collaboration with business stakeholders and external partners · Present the vision & value of proposed architectures and solutions to a wide range of audiences in alignment with business priorities and objectives · Plans tasks and estimates for the required research and volume of activities to complete work · Own and assess non-functional requirements and propose solutions for Availability, Backup, Capacity, Performance, Redundancy, Reliability, Scalability, Supportability, Risks and Costs models · Provide strategic guidance to teams on managing third-party service providers in terms of service levels, costing, etc. · Drive the team to ensure appropriate documentation is developed in support of value realization · Lead the technical team and head collaboration between Business Users and software providers to build digital solutions Enterprise Architecture · Ownership of overall Enterprise Architecture including compliances and standards · Head the overall Architecture blueprint and roadmap for Air India applications aligning with Enterprise Architecture · Identify important potential technologies and approaches to address current and future Enterprise needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use Data Architecture · Ownership of overall Data Architecture including compliances and standards · Head the overall Architecture blueprint and roadmap for Air India applications aligning with Data Architecture · Identify important potential technologies and approaches to address current and future Data needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use Team Management · Lead the technical team and head collaboration between Business Users and software providers to build digital solutions · Support, nurture and develop the team members’ skills in all digital transformation and architecture innovation aspect |
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Amazon Web Services (AWS)
PythonJob Type : Contract
Location : Bangalore
Experience : 5+yrs
The role focuses on cloud security engineering with a strong emphasis on GCP, while also covering AWS and Azure.
Required Skills:
- 5+ years of experience in software and/or cloud platform engineering, particularly focused on GCP environment.
- Knowledge of the Shared Responsibility Model; keen understanding of the security risks inherent in hosting cloud-based applications and data.
- Experience developing across the security assurance lifecycle (including prevent, detect, respond, and remediate controls)?Experience in configuring Public Cloud native security tooling and capabilities with a focus on Google Cloud Organizational policies/constraints, VPC SC, IAM policies and GCP APIs.
- Experience with Cloud Security Posture Management (CSPM) 3rd Party tools such as Wiz, Prisma, Check Point CloudGuard, etc.
- Experience in Policy-as-code (Rego) and OPA platform.
- Experience solutioning and configuring event-driven serverless-based security controls in Azure, including but not limited to technologies such as Azure Function, Automation Runbook, AWS Lambda and Google Cloud Functions.
- Deep understanding of DevOps processes and workflows.
- Working knowledge of the Secure SDLC process
- Experience with Infrastructure as Code (IaC) tooling, preferably Terraform.
- Familiarity with Logging and data pipeline concepts and architectures in cloud.
- Strong in scripting languages such as PowerShell or Python or Bash or Go.
- Knowledge of Agile best practices and methodologies
- Experience creating technical architecture documentation.? Excellent communication, written and interpersonal skills.
- Practical experience in designing and configuring CICD pipelines. Practical experience in GitHub Actions and Jenkins.
- Experience in ITSM.
- Ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with risk control frameworks and engagements with risk and regulatory functions
- Experience in the financial industry would be a plus.
Data AnalyticsYears of Experience required: 4 years (Min)
Mandatory:-
· At least 3 years of experience in database or BI developer role
· Microsoft accreditation(s) preferred
· Proficient at design and development of ETL using MS SQL Integration Services (SSIS)
· Experience with common ETL Design Patterns
· Proficient at writing T-SQL, stored procedures and functions
· Proficient with analysis of data quality and data profiling
· Experience with writing technical documentation and communicating database design
· Experience working with an Agile team to create and develop operational processes and software
· Experience developing ETL of OLTP data for analytical/BI reporting; ability to perform as OLTP DBA is a plus
· Proficient in Excel BI Tools, XML, JSON and Version Control Systems (TFS experience is a plus)
· Experience in OLAP schema modeling for DWH
· Tableau desktop and Server experience is a plus.
React.js
Javascript
Redux/FluxJob Description Experience Location Duration Budget
Ruby On Rails Developer Must Have Skills:
● Overall 5+ years of experience in software engineering.
● 1.5+ yr experience with Ruby on Rails.
● Experience writing test cases using Rspecs
● Good understanding of front-end technologies and frameworks, such as ReactJS
● Solid experience with web services.
● Understanding of JavaScript dependency management and build tools.
● Experience with MongoDB, Postgresql, MySQL database.
● Comfortable in a work environment that requires strong problem-solving skills and independent self-direction coupled with team collaboration and open communication
● Understanding of RESTful web services
● Work in a fast-paced, creative atmosphere to develop new ideas that adapt to evolving user needs
● Experience using Git / GitHub.
● Experience with AWS services.
Good To Have:
● Experience with Infrastructure as Code (IaC) tools like Terraform for managing cloud
infrastructure. isko Summarise karo mujhe cutshort par post karna hai
React.js
NodeJS (Node.js)Year of experience- 2+ years
Skills
- Experience with designing, developing, deploying, and maintaining secure and scalable web-based applications.
- Experience using JavaScript based frameworks- ReactJS/AngularJS, HTML/CSS, Java Script, XML, jQuery, NodeJS, Express and other related technologies.-Good understanding of data structures and algorithm-Familiarity with databases.
- Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment.-Basic knowledge of AWS preferred.
- Experience with Scrum or other Agile development methodologies.-Comfortable working in multi-disciplinary, self-organized teams.-Good at written and verbal communication skills.
- Design and develop high-quality software used by millions of customers, in an agile and iterative development culture.
- Support and maintain existing applications and develop new modules as and when required for feature enhancements.
- Adopt best practices in web development, design, testing, code review, version control, documentation, build, deployment, and operations.
- Participate in design reviews, code reviews, and provide improvement recommendations.
- Working closely with product lead, delivery lead, and other agile team members, and ensures that the desired result for our projects are achieved.
NodeJS (Node.js)React.js
Angular (2+)
AngularJS (1.x)We are looking for a Senior Developer who has experience in developing complex end-to-end solutions.
● Take responsibility for developing product features
● Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep the platform ahead of market scenarios.
● Design and develop using Node.js/Feather.js, React, AWS ML stack
● Develop and utilize your skills as a mentor and leader. Grow your team’s capacity by mentoring other engineers and interviewing candidates.
Sounds like you?
● Experience: 4+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate the significant impact that your work has had on the product and/or the team.
● Technically strong: Deep knowledge of a high-level programming language (for example, Javascript, JAVA, Python, etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
● Product focused: You take pride in building an elegant and beautiful product
● Problem solver: You excel at understanding and solving complex problems. You have astonishing attention to detail.
● Quality communicator: You can confidently break down tricky topics in writing and in person.
● Surprisingly efficient: You get a lot done quickly, and can translate your skills into new processes that your team will follow.
● Leadership: You’re ready to rapidly grow into a company leader. You will build company culture and help shape our future.
● Motivation and drive: You volunteer for new challenges without waiting to be asked.
Data Science
Machine Learning (ML)
KubernetesBe a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.
On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.
Required Qualifications
- Bachelor's degree in computer science/electrical engineering or equivalent practical experience
- 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
- Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
- 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
- Experience with PyTorch or TensorFlow or other ML Frameworks.
- Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development
In this role you will:
- Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
- Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
- Own the ML pipeline from data collection, through the prototype development to production.
- Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack
AngularJS (1.x)Angular (2+)Javascript
HTML/CSS- Proven work experience as a Front-end developer
- Hands on experience with markup languages
- Experience with JavaScript, CSS and jQuery
- Familiarity with browser testing and debugging
- In-depth understanding of the entire web development process (design, development and deployment)
- Understanding of layout aesthetics
- Knowledge of SEO principles
- Familiarity with software like Adobe Suite, Photoshop and content management systems
- An ability to perform well in a fast-paced environment
- Excellent analytical and multitasking skills
- BSc degree in Computer Science or relevant field
Data ScienceMachine Learning (ML)PythonIn 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
Google AnalyticsWe are looking for an Affiliate Marketing Manager who is going to manage the company’s affiliate program through all phases, including brainstorming, launch, maintaining, trafficking, marketing, reporting, optimization, and analysis.
He/she is responsible for identifying, evaluating, and recruiting new affiliates to increase program distribution and interfacing with internal marketing and other teams to develop and implement marketing strategies and support affiliate programs.
You’ll be launching, managing, and growing a world-class, global affiliate program that moves the needle for overall business growth and closely ties into the overall marketing strategy.
You will work with the wider digital marketing team and multiple stakeholders across the business to ensure consistent and effective affiliate strategies are developed, agreed and implemented across markets.
As the Affiliate Manager you will:
- Own, develop, and deliver an affiliate sales strategy to drive revenue growth and meet business targets
- Maintaining and developing affiliate marketing programs, recruiting new affiliate partners
- Reviewing affiliate contracts, nurturing relationships with external vendors, affiliates, and partners
- Monitoring affiliate practices; negotiating and evaluating affiliate advertising agreements; maintaining relationships with affiliates and partners
- Performing marketing research on potential affiliate partners
- Monitoring affiliates and enforcing company procedures around affiliate programs
- Regularly monitoring campaign performance
- Compiling and submitting campaign performance reports
- Providing monthly invoices to affiliate partners
- Handling the buying, renegotiation of rates, renewing or canceling media placements and other advertising programs
- Plan and execute the seasonal and general campaign, overall partner outreach, market positioning, and branding across all affiliates
- Manage the relationships with key affiliates, maximizing their promotion
- Manage the affiliate marketing platform (Partner Stack), ensuring adherence to performance and service level KPI's and ensuring full exploitation of platform tools and functionalities
- Provide in-depth reporting, analysis, and insight to relevant stakeholders, highlighting the story behind the actual and forecasted performance
- Creating campaign reports that show progress and return on investment
Required Qualifications:
- At least, 7 years of experience working with affiliate management platforms and networks. Experience with Partner Stack a plus
- Considerable affiliate marketing experience, ideally gained from a high-growth, online or multi-channel business in the American region and a track record of achieving results (meeting lead-gen, CPA, Revenue targets, Conversion KPIs, etc.)
- A strong digital marketing expert with experience developing and managing campaigns in at least one channel discipline (SEM, email, social, content marketing, etc.)
- Able to demonstrate strong analytics skills and experience with digital marketing analytics tools e.g., Google analytics, etc.
- Education – BA in Business, Marketing, Communications or related degree is a must, MBA or equivalent preferred
- Should have previous experience purchasing and negotiating pricing for various media, including email, banner, and Web pop-up advertisements
- Experience with affiliate marketing networks and search engine marketing is a must
- Knowledge in ad-serving technologies, experience in campaign management
- Experience in dealing with and presenting to multiple stakeholders effectively
- Organized with an ability to multi-task, prioritize and work to tight deadlines
- Excellent numeracy and analytical skills with the ability to process large amounts of data and information into concise recommendations and action for the affiliate campaigns
LaravelAngularJS (1.x)
MongoDBJavascript
PHP
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon