
JD for IOT DE:
The role requires experience in Azure core technologies – IoT Hub/ Event Hub, Stream Analytics, IoT Central, Azure Data Lake Storage, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight / Databricks, SQL data warehouse.
You Have:
- Minimum 2 years of software development experience
- Minimum 2 years of experience in IoT/streaming data pipelines solution development
- Bachelor's and/or Master’s degree in computer science
- Strong Consulting skills in data management including data governance, data quality, security, data integration, processing, and provisioning
- Delivered data management projects with real-time/near real-time data insights delivery on Azure Cloud
- Translated complex analytical requirements into the technical design including data models, ETLs, and Dashboards / Reports
- Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
- Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
- Successfully delivered large scale IOT data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
- Experience in handling telemetry data with Spark Streaming, Kafka, Flink, Scala, Pyspark, Spark SQL.
- Hands-on experience on containers and Dockers
- Exposure to streaming protocols like MQTT and AMQP
- Knowledge of OT network protocols like OPC UA, CAN Bus, and similar protocols
- Strong knowledge of continuous integration, static code analysis, and test-driven development
- Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
- Must have excellent analytical and problem-solving skills
- Delivered change management initiatives focused on driving data platforms adoption across the enterprise
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations
Roles & Responsibilities
You Will:
- Translate functional requirements into technical design
- Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfill the technical design
- Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
- Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
- Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapse, or SQL
- Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
- Automate core activities to minimize the delivery lead times and improve the overall quality
- Optimize platform cost by selecting the right platform services and architecting the solution in a cost-effective manner
- Deploy Azure DevOps and CI CD processes
- Deploy logging and monitoring across the different integration points for critical alerts

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Apply User-Centric Design Principles: Create multimedia assets that are visually engaging, easy to navigate, and optimized for the learner's experience.
Incorporate Web Content Accessibility Guidelines (WCAG): Produce multimedia content with an awareness of WCAG and basic digital accessibility considerations.
Contribute to Immersive Design & Gamification Augmented Reality (AR), Virtual Reality (VR) & Gamification: Design and create assets that can be utilized for interactive experiences, including those for AR and VR applications, and incorporate game mechanics and gamification elements as directed.
Task Performance & Self-Management: Manage individual tasks and timelines effectively, monitor personal progress against design goals, and contribute to overall program/project performance.
Design Execution for Learning: Create engaging multimedia assets (e.g., static graphics, simple animations, video edits, presentations, interactive elements) based on provided storyboards, content, and design specifications for learning artefacts.
Application of Design Principles: Apply a solid understanding of design principles, visual communication, typography, color theory, imagery & iconography, and layout & composition to all design outputs within learning artefacts.
Software Proficiency: Utilize industry-standard design software effectively to produce high-quality multimedia content for digital learning.
Content Integration for Learning: Work with provided content to ensure visual assets are integrated seamlessly and effectively support learning objectives within learning artefacts.
Team Collaboration: Collaborate effectively with Learning Architects, ISDs, SME, and other team members to understand program/project requirements and incorporate feedback.
Communication: Clearly communicate design ideas and progress to team members. Actively listen and incorporate constructive feedback on learning artifacts.
Quality Adherence: Ensure all design outputs for learning content adhere to established brand guidelines and project quality standards.
Customer Service Orientation: Strive to understand the needs of internal "customers" (Learning Architects, ISDs, SMEs) and deliver design solutions for learning artifacts that exceed expectations.
Self-Management: Manage individual tasks and timelines to contribute to program/project delivery and monitor personal progress against design goals.
Bachelor's degree in Graphic Design, Multimedia Design, Visual Arts, or a related field.
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Proficiency in key Adobe Creative Suite applications (e.g., Photoshop, Illustrator, After Effects, Premiere Pro) relevant to multimedia and learning production.
Solid understanding of visual communication principles and best practices for digital learning.
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As a Backend Engineer you will be responsible for creating REST APIs which are used to drive the User Interface. Given the nature of the application, these APIs need to be very efficient and high performing. This requires optimizing queries for faster execution and introducing database changes that may be required. We are looking for individuals with great attention to detail, who are genuine, confident, committed and not only passionate about technology, but excited to work in a fun and friendly start-up environment. The ideal candidate will be passionate about technology and GETTING IT DONE.
Responsibilities:
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Requirements:
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- Understanding of relational database and normal forms
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- Experience with GIT as a VCS, Unix based systems
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• Ability to create solution prototype and conduct proof of concept of new tools.
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Technical skills
• Must have knowledge of the networking in Linux, and basics of computer networks in
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• Should be proficient in bash.
• Should have excellent Linux administration capabilities.
• Working experience of SCM. Git is preferred.
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• Excellent verbal and written communications skills.
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Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences.
Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially.
At Amagi, our Billing Platform is key to our continued growth. The success of our products is dependent on the success of our billing platform and its ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.
We are looking for an Engineering Manager to help us lead the efforts of building our billing platform and related process automation solutions. The ideal candidate would be responsible for the successful delivery of a scalable and flexible billing platform and workflows related to accounts receivable and accounts payable.
Role reporting into: Engineering Director - Enterprise Platforms
Individuals reporting into this role: Senior Architect, Staff Software Engineer, Software Tech Lead, Senior Software Engineer
Location: Bangalore, India
Key responsibilities include (but are not limited to):
- Lead the core Engineering activities in an Agile model
- Participate in the overall design and development discussions
- Work closely with the Product Management team to establish product and engineering roadmaps.
- Provide architectural and technical guidance to the team and ensure they follow sound engineering practices
- Demonstrate accountability towards intended business outcomes, by working with product management and other functional teams.
- Lead the billing, account receivables and account payables automation and workflows implementation.
Person Specification:
- 10+ years of overall SDLC experience with 6+ years of experience managing cloud application/platform engineering teams.
- Hands-on with at least of one cloud of the platforms, AWS or GCP
- Experience developing the usage/subscription based billing for SaaS products.
- Exposure to design and development of microservices optimized for scalability and speed
- Experience developing the horizontally scalable distributed systems, streaming data pipelines
- Hands-on experience of implementation of highly available, low latency and robust cloud services.
- Experience with both SQL and NoSQL technologies
- Knowledge of finance processes
- Strong in CS fundamentals (object oriented analysis, data structures, algorithms)
- Salesforce sales and revenue cloud knowledge
- NetSuite, Salesforce, Freshdesk integration experience
- Working experience with any of the enterprise cloud platforms or applications.
Job Description:
- Understand business model and create project roadmap. Break down the big requirements into smaller chunks and prioritize as per the business outcome
- Actively work with product and technology team in a seamless manner
- Coordinate with the User Experience team to design the final intuitive UI and define the overall tech solution along with the IT team
- Leading project planning sessions
- Managing project progress and adapt work as required
- Ensuring projects meet deadlines
- Managing relationships with clients and stakeholders
- Conducting project review and creating detailed reports for executive staff
- Optimizing and improving processes and the overall approach where necessary
- Create User Journey as per Business expectations along with well-defined user cases, wire frames and workflow diagram
- Own the overall product and feature development projects
- Analyse user data & develop innovative growth hacks to drive user growth and engagement via all channels
Requirement / Desired Skills:
- Proven ability to lead, collaborate with cross-functional teams and manage interactions across Project life Cycle
- Hands on experience in creating user stories, user journey wire frames and workflow and defining acceptance criteria and success matrix
- Strong product design skills from both a technical API integration and user interface design perspective
- Excellent Project Management skills and experience working in Agile fashion
- Excellent communication skills to handle both executive-level discussions as well as functional/technical deep dives
- Demonstrate analytical and quantitative skills over performance matrices such as engagement, retention, conversion funnel, etc.
- Experience in a fin-tech domain is a plus.
What you'll do
Technology is at the heart of our organization. We have a strong engineering team and we're looking for an experienced engineer to lead our backend engineering team. As part of the tech team, you will Understand product requirements and brainstorm ways to address them
- Lead large initiatives and be responsible for it
- Mentor teammates
- Set and enforce standards for writing and maintaining efficient code
- Influence team decisions in the overall architecture and practices of the company
- Contribute to company growth by participating in hiring activities
What you'll need
Must-haves
- At least 4 years experience in a product based company
- Experience working with distributed environments at scale
- Strong command on at least one Object Oriented Programming language
- Experience leading developers for large scale products
- Demonstrated capability to design and architect products built for scale
- Deep knowledge of multiple AWS services
- Experience with Docker and Kubernetes
Good to have
- Experience with at least one among C++, Java
- Experience with Linux file systems
- Familiarity with agile development methodologies
Why us
We're hiring a set of highly skilled, enthusiastic, and passionate people who thrive in a high-growth environment. We believe the best way to grow is to give everyone the opportunity to pursue their interests. At Lucidity, you have complete freedom to work on projects that interest you. Plus, with benefits like flexible hours, company offsites, unlimited leaves, we ensure you enjoy the journey as much as we do. We are also offering healthy founding team ESOP's.
The Opportunity
As a Pre-Sales Engineer, you will be responsible for technical account leadership and management for the Denodo Sales Cycle across multiple strategic accounts, including relationships with technical counterparts within those organizations. The selected candidate will be working closely with experienced Sales, Marketing and Product Management personnel and will be supported by a strong technical team in an ideal, fast paced, rapidly growing startup environment to grow professionally and go beyond expectations.
Your career with us will combine cutting edge technology, exposure to worldwide clients across all industries (Financial Services, Automotive, Insurance, Pharma, etc.) and an exciting growth path as part of a global team.
Duties & Responsibilities
As a Sales Engineer you will successfully employ a combination of high technical expertise, client communication and coordination skills between clients and internal Denodo teams to achieve your mission.
Product and Technical Knowledge:
-
Obtain and maintain strong knowledge of the Denodo Platform, be able to deliver a superb demo and technical pitch, including overview of our key and advanced features and benefits, services offerings, differentiation, and competitive positioning
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Be able to address a majority of technical questions concerning customization, integration, enterprise architecture and general feature / functionality of our platform
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Capable of building and/or leading the development of custom demos and PoCs based and beyond customer requirements
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Provide timely, prioritized and complete customer-based feedback to Product Management, Sales, Support and/or Development regarding customer requirements and issues.
Presentation and organizational skills:
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Train and engage customers in the product architecture, configuration, and use of the Denodo Platform
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Know where to escalate within the Denodo technical organization, and make effective use of those resources.
Customer engagement:
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Enthusiastically present software solutions to prospective customers, from IT managers and technicians to C-level executives
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Lead the completion of RFI and RFP
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Manage client expectations, establish credibility at all levels within the client and build problem-solving partnerships with the client and colleagues
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Along with Marketing, Sales, Sales Engineering and Product Management, and based on market or customer feedback, lead the definition, development and presentation of product and solution demos and PoCs for prospects and partners
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Provide technical support to entire sales team as appropriate (e.g. handle technical questions and escalate them when required, conduct training and/or briefings)
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Document and track all activity through CRM and an internal wiki, including lead/prospect data entry, detailed activity reports, setting tasks for follow-up, architectures, challenges, etc.
Qualifications
Desired Skills & Experience
- BS or higher degree in Computer Science
- 5+ years as a Sales/Solution Engineer, Consultant or Enterprise Architect
- Must have excellent verbal and written communication skills to be able to interact with technical and business counterparts
- Knowledge and experience on Enterprise Architecture Best Practices and Frameworks will be a plus
- A “can do” attitude
- Willingness to travel
Hands-on working experience in any of the following areas:
- Solid understanding of SQL and a good grasp of relational and analytical database management theory and practice. Understanding and optimization of complex queries.
- Understanding of Data Integration flavors (ETL/Data Warehousing, ESB/Messaging, DV).
- Understanding of BigData, NoSQL, in-memory, MPP environments is welcome.
- Technical skills include JDBC/ODBC, XML, JSON, REST APIs, Java development and version control systems. Good knowledge of software development and architectural patterns.
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.
What you will achieve:
-
Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
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Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
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Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
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Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
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Partner with the executive team and other business leaders to deliver cross-functional research work and models
Required Skills:
-
Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
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Knowledge of deep learning & NLP
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Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
-
Experience with GPU computing is a plus.
-
Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
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Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
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Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
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Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Qualifications
-
Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
-
Expert-level experience with machine learning that can be applied to business problems
-
Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
-
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
-
Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
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5+ years of industry experience in data science and machine learning, preferably at a software product company
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3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
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3+ years of experience partnering with executive staff on data topics
- Managing the Salesforce team of consultants on a project.
- Advising clients in implementation of Salesforce products (Sales, Service, Marketing, Community Cloud etc...).
- Developing business requirements and functional designs to effectively shape Cloud solutions.
- Conducting & facilitating requirements and design sessions.
- Designing overall Salesforce architecture concept and SaaS ecosystem (e.g. CPQ solutions, Order Management solution, etc)
- Building of integration solutions between the CRM platform and other clients systems architecture.
- Driving project from Design through deployment phase.
- Effectively contributing to Proposals.
Top 5 Responsibilities
- Analyse, design and implement solutions
- Manage team of developers in a highly dynamic environment
- Anchor project calls, elicit details, allocate work and report status
- Contribute to CoE and Proposals
- Provide technical mentor-ship to the team
Technical Skills Required:
Strong in Salesforce Customisation (Apex, Visualforce, Triggers, Lightning Components etc...) and Configuration (Process Builder, Visual flow, OWD, Security Settings and other common Admin tasks).
Has extensive implementation experience in at-least 3 of the cloud offerings - Sales, Service, Marketing, Community Cloud.
Has worked on proposals.
Should have done deployment using at-least 2 approaches - ANT, Eclipse, Change sets.
Should have lead at-least 3 E2E Salesforce implementations (Design through Deploy).
Should have experience in building Web Services, both SOAP and ReST.










