Azure Data Engineer

Lightning Job By Cutshort ⚡

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)

Job Overview:

We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

Kindly apply at https://wohlig.keka.com/careers/jobdetails/54566

Responsibilities:

• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.

• Deploy and manage Kubernetes clusters using AWS.

• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.

• Monitor system performance using Datadog, ELK, and Cloudflare tools.

• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.

• Collaborate with development teams to design, implement and test infrastructure changes.

• Troubleshoot and resolve infrastructure issues as they arise.

• Participate in on-call rotation and provide support for production issues.

Qualifications:

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

• 3+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

• Strong understanding of Linux administration and shell scripting.

• Experience with automation tools such as Terraform, Ansible, or similar.

• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.

• Experience with container orchestration platforms such as Kubernetes.

• Familiarity with container technologies such as Docker.

• Experience with cloud providers such as AWS.

• Experience with monitoring tools such as Datadog and ELK.

Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently or in a team environment.

• Strong attention to detail.

• Ability to learn and apply new technologies quickly.

• Ability to work in a fast-paced and dynamic environment.

• Strong understanding of DevOps principles and methodologies.

Sales Team Leader – Loan Industry

Location: Andheri

Job Summary:

We are seeking a proactive and performance-oriented Sales Team Leader with strong

experience in the loan and DSA (Direct Selling Agent) ecosystem. This role involves

leading a team of loan sales executives to meet sales targets through DSAs and direct

sourcing. The ideal candidate must have hands-on experience in the loans industry, a

strong understanding of credit and documentation, and the ability to drive high-

performing sales strategies. The Sales Team Leader will also be responsible for

coaching the team, maintaining compliance, and achieving monthly business goals.

Key Responsibilities:

A. Team Leadership & Target Achievement

• Lead and supervise a team of sales executives across loan products (Personal,

Business, Home Loans, etc.).

• Set and monitor individual and team sales targets.
• Motivate and guide the team toward consistent achievement of targets and

productivity.

B. Channel & DSA Management• Source business through DSA channels, referrals

• Build and maintain strong relationships with DSAs and other sales partners.
• Ensure proper onboarding and training of new DSAs and agents.

C. Sales Execution & Customer Management

• Guide the team through the sales process – from lead generation to file login and

disbursal.

• Resolve escalations and ensure smooth customer experience throughout the

loan lifecycle.

• Support in documentation and KYC collection processes.

D. Reporting & Coordination

• Monitor and review daily sales activities, pipeline status, and lead conversions.
• Prepare MIS reports and daily dashboards for internal tracking and review.
• Coordinate with internal teams (Operations, Credit, and Disbursement) for

smooth process flow.

Required Skills & Qualifications:

• Experience: Minimum 2–4 years in loan sales with strong exposure to DSA

models

• Proven experience in products like Personal Loans, Business Loans, or Home Loans
• Strong communication, leadership, and field sales skills
• Basic understanding of credit processes and financial documentation
• Comfortable with achieving aggressive monthly sales targets

Designation: Sales & Customer Service Executive (Only Chennai Candidates)

Roles and Responsibilities:

• Actively promote our range of heritage handloom sarees and clothing to potential customers who visit our website.
• Understand customer needs and communicate how the product adds value to meet those needs.
• Upsell or cross-sell additional products or services to maximize sales revenue.
• Provide personalized recommendations and suggestions based on customer preferences.
• Follow up with customers to ensure their satisfaction and encourage repeat purchases.
• Communicate with Customers both pre and post purchase - Emails, Web chats, WhatsApp Chats, Phone Call.
• Order checking and Quality Checks prior to shipping products to customers.
• Follow up with Logistics for tracking shipments, and order fulfilment.
• Make video product demos of sarees and clothes to customers who need more information.

Key Skills

• English communication skills - Oral, Telephonic and Written
• Pleasant and sweet temperament
• Systematic follow ups with customers
• 0-2 Yrs of experienced candidates can apply.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Profile Description:

The job holder will manage the day-to-day planning and operations of your team. This includes making sure that each of your Teammates delivers on their Service Level Agreement (SLA) and achieves their Key Performance Indicators (KPIs). As a Team Leader, you are in charge of managing the team and making sure everyone adheres to their schedules. You must be organized and be able to handle responsibility.

Key Responsibilities:

Project / Process:

1. Drive team to achieve process SLAs / metrics – productivity and quality targets within the established timelines.
2. Ensure individual SLAs are met on processing transactions (if applicable).
3. Ensure process guidelines are followed and met as documented.
4. Review process audit findings and take corrective action to prevent negative results.
5. Conduct Quality checks & periodical review of process adherence.
6. Maintain operations rigor around daily huddles, knowledge management Cross training etc.
7. Provide updates and submit reports related to own area of work.

Team Managements:

1. Provide work direction and guidance to team members:
2. ensure accuracy of the work of team members, their ability to operate under deadlines and to work on multiple tasks
3. Allocate work and tasks to the team.
4. Conduct team building activities to enhance motivation.
5. Conduct knowledge transfer sessions for new joiners in the team.
6. Identify training needs of team members and provide coaching support to them.
7. Report to the manager on performance, status and any escalations.
8. Manage attrition and absenteeism.
9. Developing and implementing a timeline to achieve targets.
10. Contributing to the growth of the company through a successful team.
11. Creating a pleasant working environment that inspires the team.

Digital Marketing Executive Job Description-

We are looking for an experienced and result-driven Digital Marketing Executive to join our awesome marketing team! As a Digital Marketing Executive at our company, you will be responsible for setting up, implementing, and managing the overall company's digital marketing strategy.

Digital marketing strategies are extremely important for our company's success, so your role will play a crucial role in achieving our business goals and objectives.

Roles & Responsibilities:

• Build, plan and implement the overall digital marketing strategy
• Manage the strategy
• Manage all digital marketing channels
• Measure ROI and KPIs
• Prepare and manage a digital marketing budget
• Oversee all the company's social media accounts
• Manage and improve online content, considering SEO and Google Analytics
• Build an inbound marketing plan

Requirements:

• 1+ years of experience as a Digital Marketing Executive
• 1+ years of experience in developing and implementing digital marketing strategies
• Good knowledge of all different digital marketing channels
• Good knowledge and experience with online marketing tools and best practices
• 1+ years of hands-on experience with SEO/SEM, Google Analytics and CRM software
• Familiarity with web design
• Sense of ownership and pride in your performance and its impact on a company’s success
• Critical thinker and problem-solving skills
• Good time-management skills
• Great interpersonal and communication skills

• Develop iPhone and iPad handset clients
• Develop architecture and low-end designs based on customer and product management requirements
• Communication of designs and other development issues to developers and managers
• Design, develop and manage automated unit and acceptance tests
• Peer review of design code and tests
• Participate in the agile development program
• Bug Fixing
• Take ownership of deliverables
• Adhere to development methodologies

ESSENTIAL SKILLS/ATTRIBUTES:

• Minimum 5 years Objective-C development
• Excellent knowledge of Objective-C and the iOS SDK.
• Strong knowledge of Swift 3/4.
• Experience developing Universal apps across iOS9, iOS10 and iOS11
• Proficiency in Xcode, Interface Builder, and Instruments.
• Appreciation for the limitations of handset development, especially networking related issues
• Attention to detail and subtleties of UI design and implementation
• Understanding of design patterns
• Ability to design for scalability and resilience
• Strong application process flow and problem-solving techniques
• Strong focus on refactoring and code quality
• Understanding of software configuration management and release management
• High levels of software engineering literacy and communication skills
• Friendly and professional manner
• Third Level Qualifications in computing, mathematics, or science
• Experience with auto-layout and constraints
• #Experience in building web (PWA)/mobile app using ionic/reactjs (react native)

DESIRED SKILLS:

• Experience of working in an agile (XP) environment
• Experience working with Core Data
• Experience in delivering Libraries / SDK
• Experience of other mobile platforms a plus (Android, Windows Phone/Mobile)
• Product development and lifecycle experience
• Experience in unit testing and Test-Driven Development
• Scripting (JavaScript, Ruby, Python, Shell, etc.)
• Knowledge of build systems such as Maven, Fastlane
• RESTful development
• XML, JSON, HTTP, SyncML, HTML 5, CSS, Groovy, UML
• Experience in writing documentation

We are building a workspace for Marketing teams - Think Webflow for Marketing teams, Grafana for Marketing teams who operate on large data sets and need a clear intuitive interface to look at all their data.

Traditionally Marketing teams have always had to depend on a large BI team to provide them with the data they need to make decisions. Clarisights eliminates this by giving Marketing teams everything they need in one intuitive, collaborative reporting platform.

We work with large enterprise Marketing teams around the world like Delivery Hero - The world's largest food delivery co., HelloFresh the world's largest mealkits delivery co. etc.

Our platform is central to how business teams make decisions and you will work on the interface that these teams use. We are helping non technical business users get comfortable with data by giving them a platform they can use to drive.

What makes this role challenging? Think Google Docs, Slides and Sheets all combined in one platform. We have a collaborative text editor which is used by teams together and we built our table grid which is extremely powerful. Tables, being one of the heaviest and most used widgets we have, have records composed of metric data(averages, share percentages, comparison data), multiple creatives(images, videos, gifs), trends(charts inside each cell) and a lot more.

The huge amount of data points naturally increases the amount of DOM nodes and thus it becomes memory heavy and CPU intensive to run the app in the browser. One table can have 500 records that the users can scroll through at once. Now imagine having 10+ of such tables in one tab, and each report comprising of multiple tabs. And we also support features like drilldowns/breakdowns, column freezing, row freezing, in the tables all while ensuring a smooth user experience.

We decided to build it from scratch using React Virtualize since most table libraries did not give us the performance or features we need. We also extensively use charts to visualize data and as we are scaling, a lot of these components have to be rebuilt to handle the volume of data we process.

We are only getting started, we want to make our platform a lot more collaborative and immersive by giving teams ability to interact with charts by adding annotations and ability to tag team members and leave notes for them. This might seem a solved problem when you look at collaboration on Google Docs but it's an extremely tricky problem for us as we don't deal with static data the way you have it with Google Docs.

Unlike read only dashboards which do not allow edits after building, our platform is meant for collaboration within teams. Think of how shitty collaboration was for design teams before Figma.

We are looking for someone who obsesses over performance and is comfortable with profiling performance, can think of frontend architecture. We are also looking for a lead who can mentor the team on performance and scale.

While working with such complex interfaces, often times, performance and the tech becomes a bottleneck for the user experience we strive for. We are looking for someone who —

• Understands fundamentals of Application Design and has designed/architected applications from scratch.
• Has worked on large-scale applications, and setup/maintained its data pipelines (data flows from backend to frontend)
• Has architected efficient and reusable front-end systems that drive complex web applications

• 3+ years of JavaScript experience, including concepts like asynchronous programming, closures, types.
• HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility
• Experience with browser APIs and optimizing frontend performance
• Previous experience with dashboard apps, charts framework, window virtualisation
• Has written Generators for project setup
• Comfortable with tech like Postgres, Docker, Rails
• Understands tooling like Webpack, Babel

Experience with React and Typescript is preferable but not necessary.

• Understanding the data flow and familiarise oneself with the app components
• One feature/task like updating something that touches majority of the app — this is again aimed to get familiarity with the whole codebase in the quickest way
• Synchronising the data pipelines by adopting better serialisation protocols
• Creating avenues to improve app performance (by profiling and benchmarking)