Digital Marketing

Proficient in Looker Action, Looker Dashboarding, Looker Data Entry, LookML, SQL Queries, BigQuery, LookML, Looker Studio, BigQuery, GCP.



Remote Working

2 pm to 12 am IST or

10:30 AM to 7:30 PM IST

Sunday to Thursday

Responsibilities:

● Create and maintain LookML code, which defines data models, dimensions, measures, and relationships within Looker.

● Develop reusable LookML components to ensure consistency and efficiency in report and dashboard creation.

● Build and customize dashboard to Incorporate data visualizations, such as charts and graphs, to present insights effectively.

● Write complex SQL queries when necessary to extract and manipulate data from underlying databases and also optimize SQL queries for performance.

● Connect Looker to various data sources, including databases, data warehouses, and external APIs.

● Identify and address bottlenecks that affect report and dashboard loading times and Optimize Looker performance by tuning queries, caching strategies, and exploring indexing options.

● Configure user roles and permissions within Looker to control access to sensitive data & Implement data security best practices, including row-level and field-level security.

● Develop custom applications or scripts that interact with Looker's API for automation and integration with other tools and systems.

● Use version control systems (e.g., Git) to manage LookML code changes and collaborate with other developers.

● Provide training and support to business users, helping them navigate and use Looker effectively.

● Diagnose and resolve technical issues related to Looker, data models, and reports.

Skills Required:

● Experience in Looker's modeling language, LookML, including data models, dimensions, and measures.

● Strong SQL skills for writing and optimizing database queries across different SQL databases (GCP/BQ preferable)

● Knowledge of data modeling best practices

● Proficient in BigQuery, billing data analysis, GCP billing, unit costing, and invoicing, with the ability to recommend cost optimization strategies.

● Previous experience in Finops engagements is a plus

● Proficiency in ETL processes for data transformation and preparation.

● Ability to create effective data visualizations and reports using Looker’s dashboard tools.

● Ability to optimize Looker performance by fine-tuning queries, caching strategies, and indexing.

● Familiarity with related tools and technologies, such as data warehousing (e.g., BigQuery ), data transformation tools (e.g., Apache Spark), and scripting languages (e.g., Python).

Responsibilities: 

• Design, code and deliver UI capabilities using Qt that would interact with backend python functionalities seamlessly. 
• Solve critical issues by coding in a hands-on and efficient manner.
• Developed CI/CD pipelines for corporate infrastructure. 
• Extensive hands-on experience developing frontend systems 
• Ability to assess and prioritise architectural components, features and bugs..
• Ability to work in an efficient startup creating innovative technology Qualifications: 
• 3+ years of industry Experience in frontend desktop application design and development. 
• Bachelor/Masters in Computer Science Engineering, other branches of engineering from Tier 1 colleges. 
• Should have a good working knowledge of Qt. 
• Familiarity with front-end technologies (like JavaScript, CSS and HTML5). 
• Strong analytical thinking and problem-solving ability Preferred Skills: 
• Attuned design sense so can collaborate with UX designers and hold high quality bars. 
• Strong Programming Skills in Python. Experience in Image Processing is a bonus 
• Deep hands-on technical expertise in full-stack development. Location: Bangalore Salary: Industry Standard with ESOP.

We are seeking a highly experienced and skilled React/Next.js developer to join our team. The ideal candidate will have a strong track record of building and maintaining web applications using React and Next.js, as well as a strong understanding of front-end development. 

Responsibilities: 

• Develop and maintain web applications using React and Next.js 
• Write clean, maintainable, and efficient code 
• Collaborate with the design team to implement visually appealing and user-friendly interfaces 
• Work with the back-end team to integrate with APIs and other server-side functionality 

• Troubleshoot and debug issues as they arise 
• Write and maintain comprehensive documentation 

Requirements: 

• Experience with Tailwind CSS to create custom, responsive user interfaces 
• Experience with CSS-in-JS libraries 

• Experience with Git, npm, and webpack 
• Familiarity with RESTful APIs and GraphQL 
• Strong debugging and troubleshooting skills 
• Ability to work well in a team environment and communicate effectively with other developers and designers. 

Preferred: 

• Experience optimizing performance and scalability of web applications 
• Familiarity with testing frameworks such as Jest 
• Experience with deploying and maintaining web applications 
• Experience with TypeScript 
• Familiarity with other JavaScript libraries and frameworks such as Redux, GraphQL, and Apollo, react-query

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
• Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
• CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
• Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
• End to end deployment of deep learning models.

Position: Windchill Developer

Profile of the Job Holder:

· Bachelor’s Degree in Mechanical or Computer Engineering stream;

· 2-5 Years of relevant work experience;

· Highly motivated & self-initiator with good communication skills with the ability to work effectively in a team environment;

· Ability to work within a fast-paced environment with changing priorities;

· Ease at dealing with ambiguity in work situations

· Empower themselves by seeking authority to make decisions within appropriate guidelines;

· Recover quickly and learn from setbacks;

Key Skill & Knowledge Profile:

· Understand Basic Concepts of PLM

· Experience in Windchill / PDMLink customization

· Thingworx Knowledge

· Programming Knowledge of Java, JSP, XML, and HTML

· Knowledge of Windchill Data Model

· Ability to create reports using query builder

· Basic knowledge of any database (Oracle, SQL servers)

· Working knowledge of any Bug tracking & End user support tool;

Key Responsibilities

Business Development & Support

· Analyze & understand existing customizations

· Design, Develop & enhance customizations based on requirements

· Testing & resolving of issues in Windchill

· Prepare and maintain all necessary documentations

· Responsible for meeting development schedules and ensuring the delivered solution meets the technical specifications and design requirements

· Adopt best practices on software development processes and ensure that quality processes is adhered

· Understand the deployment process and execute accordingly

· Escalate issues in a timely fashion to the PLM Operations Team to ensure Business visibility

• Project Management Experience in managing teams of sizes 10-12 people in multiple domains. Managed international projects in mobile and web.
•     Knowledge of UI / UX process
•     Knowledge of Cloud Deployments - AWS, Azure, Docker
•     Knowledge on creating SRS / Scope Documents, Functional specification, technical architecture and project estimations.
•     Knowledge on Mobile Technologies (IOS/Android/Hybrid/Shell apps)
•     Hands on experience on working with SOAP and REST web services (XML/JSON)

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)