
1. Receive and work on generated leads.
2. Engage with customers through phone calls to understand their requirements.
3. Guide interested customers to enroll in a demo session.
4. Conduct closure calls to finalize sales.

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About the Role:
We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.
Responsibilities:
- Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
- Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
- Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
- Team Management: Able to handle team.
- Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
- Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
- Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
- Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.
Skills:
- Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
- Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
- Understanding of data modeling and data architecture concepts.
- Experience with ETL/ELT tools and frameworks.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
- Knowledge of machine learning and artificial intelligence concepts.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Certification in cloud platforms or data engineering.
Responsibilities:
- As a designer on our team, you'll be responsible for delivering design and innovation across the team to help bring best-in-class digital experiences to life that empower partner brands, warehouse managers, and fellow employees.
- Run tight sprints and control the design planning for your projects, you'll drive team motivation to achieve individual and company goals.
- Deep empathy for the user and a desire to learn as much as possible about customers
- Find new ways of improving user experience by collaborating with others
- Model Design values in Design Teams & encourage others to be opinionated
- Develop the process/approach for tackling a design problem using known methods; anticipate problems; facilitate skills to engage cross-functional teams
- Use an understanding of impact and success metrics to focus and reprioritize their own and the team's efforts
Requirements:
- 5+ years' experience designing compelling user experiences
- Experience working in an agile/scrum environment and working collaboratively with product managers and developers, from concept to implementation
- Systems thinking; ability to step back and see a project's larger ecosystem, with a focus on solutions that improve not just one feature but the entire user flow
- Ability to lead and deliver projects end to end while effectively managing the stakeholder requirements.
- Ability to explore ideas, persuade others, and build consensus on fast-moving projects with varying degrees of ambiguity
- Have a keen understanding of the technological, business, and user opportunities and constraints
- Ability to distill and reframe problems, then define a framework for resolution, generating clear, elegant solutions for complex challenges
- Experience working in Ecommerce setup is a plus.
- Proficiency in working with design and prototyping tools like Figma, Miro, etc.
- Students from Bachelor's/Master's Degree courses in Design, Human-Computer Interaction (HCI) Human Factors International (HFI), or related fields of study can apply

Vision: Designing and Developing products and features based on data and advanced
analytics.
- leverage business knowledge and data to uncover the potential of the data
- data science applications development
- hypothesis testing and modelling
- evaluate performance of various ML/DS models
- and much more
Role: The role is to define big ‘Why’ and ‘What’? Ideate and build products and features
using advanced data science and machine learning models which can help internal/external
stakeholders along with customers. It requires you to experiment on multiple hypothesis
using statistical and machine learning algorithms and bring better decision making to the
table. The role requires you to work closely with business and machine learning/data
science team.
Responsibility:
- Define and solve the problem that exist in the market and solve by using data
- Writing Product requirement documents with user stories
- Monitor products and feature’s performance
- Make strong communication and feedback loop with customers and
stakeholders
- Bring best product practices to the table
Autonomy:
- Create product roadmap for data products
- Daily decision making about product
Requirements:
- Graduate/ Post graduate degree in Marketing, Business Administration,
Engineering etc.
- 4+ Years of Product Management experience in high growth tech start up
- Strong knowledge of Excel and Database
- Analyzing data and model performance
- Knowledge of latest technology and innovation trends
- Working knowledge of application development process and hands on product
management systems JIRA, Aha etc.
- Comfortable in programming language like R and Python
- Sound knowledge of cloud-based architecture
- Ability to develop hypothesis and testing models
Title: Test Automation Engineer (Senior)
Type: Permanent
Region: India (Mumbai)
Location: Hybrid
About the Role:
Join our dynamic QA Automation Team and take your career to the next level! We are looking for Senior Level Automation Engineers to join our team and grow with us long term. You will have the opportunity to work with cutting-edge technologies and bring your expertise in using Bash, JavaScript, testing APIs, web services, and webpages, Cloud (Azure, AWS, GCP. This is a hybrid role, meaning you will need to spend 1-2 days in the office each week.
Responsibilities:
· Develop and execute automation scripts using open-source tools
· Identify, record, document thoroughly and track bugs
· Perform thorough regression testing when bugs are resolved
· Monitor debugging process results
· Track quality assurance metrics, like defect densities and open defect counts
· Create detailed, comprehensive, and well-structured test plans and test cases
· Estimate, prioritize, plan, and execute testing activities
· Stay up to date with new testing tools and test strategies
Required Experience:
· At least 5 years’ experience in test automation for Senior Level.
· Proven work experience in web-based and/or mobile based quality assurance best practices
· Strong knowledge of software QA methodologies and processes
· Strong experience with automated testing tools (e.g., JMeter, Selenium)
· Scripting experience using Bash, JavaScript or NodeJS
· Experience in testing APIs, webservices, and webpages
· Experience in writing clear, concise, and comprehensive test plans and test cases.
· Experience in working in an Agile/Scrum development process
· Knowledge of Continuous Integration and Continuous build
· Experience working with Cloud (Azure, AWS, GCP)
· Advanced experience in defect management and prioritization
· Excellent analytical skills, with demonstrable experience driving issues to resolution
· A good eye for identifying opportunities to add greater value and accuracy to our current testing processes
· Experience with High Traffic Public Web Sites, security testing, scalability, and performance challenges of server-side code, knowledge of Kubernetes, Docker, or any container orchestration
About Ovyo
Ovyo works globally with companies in the TV, Media & Networks industries including household content brands and operators. Our people provide consulting services to build the platforms, test the apps, and drive the programmes that shape the way the world watches video and connects. Our management team is in the UK, and we have technical, and operations teams based in India, South Africa, Europe, and the Americas.

Senior Web Backend Developer
Company Overview:
It is a US based startup founded in 2018 to build an edge data platform for the autonomous world.Rich data in large volumes is getting collected at the edge (outside a data center) in use cases like autonomous vehicles, smart manufacturing, satellite imagery, smart retail, smart agriculture etc.These datasets are characterized by being unstructured (images/videos), large size (Petabytes per month), distributed (across edge, on-prem and cloud) and form the input for training AI models to get to higher degrees of automation. It is engaged with building products that solve these unique challenges and be at the forefront of this edge data revolution.
The company is backed by prominent VCs and has it’s entire software engineering team based out of India and provides ample opportunities for from-scratch design and development.
Role:
This role is an individual contributor role with key responsibilities in developing web server backends for Akridata management plane software that provides a ‘single pane of glass’ for users to manage assets, specify and monitor large volume data pipelines at scale involving 10s of petabytes of data.
This role involves:
- Working with tech leads and the rest of the team on the feature design activities and picking appropriate tools and techniques for implementation.
- Be a hands-on developer able to independently make correct implement choices, follow sound development practices to ensure an enterprise grade application.
- Guide and mentor junior team members.
What we are looking for:
- A Bachelor’s or Master’s degree in computer science with strong CS fundamentals and problem-solving.
- 5+ years of hands-on experience with software development with 3+ years on web backend development.
- A good understanding of backend application interactions with relational databases like MySQL, Postgres etc
- Knowledge of web server development frameworks preferably on Python.
- Enthusiastic to work in a dynamic, fast paced startup environment.
Good to have:
- Hands-on experience with designing database schema and implementing and debugging SQL queries for optimal performance for large datasets
- Experience working with applications deployed on Kubernetes clusters.
- Experience with working on a product from early stages of it’s development typically in a startup environment.



About LodgIQ
LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.
Title : Data Scientist
Job Description:
- Apply Data Science and Machine Learning to a REAL-LIFE problem - “Predict Guest Arrivals and Determine Best Prices for Hotels”
- Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
- Help scale up the product in a global offering across 100+ global markets
Qualifications:
- Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization. Student projects are acceptable.
- At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
- Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
- Solid grasp over optimization techniques
- Master's or PhD degree in Business Analytics. Data science, Statistics or Mathematics
- Ability to show a track record of solving large, complex problems
-
Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
-
Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
▪ Distributed Cloud Native Computing including Server less Functions
▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
▪ Micro services Architecture, API Modeling, Design, & Programming -
3+ years of hands-on development experience in Apache Spark using Scala and/or Java.
-
Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.
-
In-depth knowledge of standard programming languages such as Scala and/or Java.
-
3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.
-
3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.
-
Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.
-
Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.
-
Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.
-
Perform benchmarking/stress tests and document the best practices for different applications.
-
Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.
-
Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.
-
Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.
Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.
-
Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.
-
Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.
-
Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.

- The main roles and responsibilities would be:
- Deliver high quality mobile apps on Android platforms.
- Create best practice, drive initiatives to build reusable frameworks, components and solutions.
- Engage with the team to create a knowledge centre on Android.
- Minimum experience of 1 years needed. Ideally more than 2 years.
- Maps based apps.
- Payment gateway integration: (PayPal, Stripe, Paytm etc).
- Integration of webservices
- Marketplace apps
- Live Streaming
- Offline application development.
- Strong OO design and programming skills in Java
- Android SDK
- JSON/REST API
- Social Media APIs
- UML/Design Pattern
- Knowledge of Retrofit,Volley,Dagger2,Realm,RxJava,Espresso
- Knowledge of android architecture component(LiveData etc).
- Working Experience on MMVM and MVP architecture
- Experience in SQL and NOSQL databases.
- Familiarity with cloud message APIs and push notifications
- Understanding of Googles Android design principles and interface guidelines
- Proficient understanding of code versioning tools, such as Git.
- Work closely with the leadership team to define roadmap and development plans
- Help define and implement standards and promote best practices for the Android development team
- Tackle daily challenges with your creative problem solving recommendations
- Mentor and contribute knowledge to the rest of the team and the organization
- Strong knowledge of Android UI design principles, patterns, and best practices
- Experience with threading, and performance tuning
- Ability to understand business requirements and translate them into technical requirements


You are a motivated and energetic rockstar full stack developer. Go-getter, think out of box to create awesome front-end (jQuery or ReactJS) and back-end (APIs) of an application platform.
Skills:
- Develop web apps using jQuery or ReactJS, HTML5, CSS3, Bootstrap, PHP Advanced, any MVC framework and Ajax.
- Hands on knowledge of Adobe Photoshop
- Experience of setting up a production workflow with git and cloud deployment will be plus.
- Knowledge of web technologies such as NodeJS, ReactJS, VueJS etc will be plus
// must have a strong understanding of UI, cross-browser compatibility, general web functions and standards.
// willingness to learn and improvise skills
// "NEVER SAY NO" attitude towards new and challenging projects
// good verbal and communication skills
// excel in a fast-paced startup-like environment. Should be goal-orientated and be able to work without any supervision or mentorship.

