Video Editor@QuitSure

Responsibilities

• Take product ideas from ideation to implementation
• Design and develop backend services that expand the capabilities of the product
• Write high quality, structured application/interface code and tests
• Lead engineering discussions to ensure the best practices, maintainability and security of the application
• Participate in design and code reviews

We are looking for

• 3+ years of experience building quality applications
• Proficient in Node JS, NoSQL databases
• Strong working knowledge of Web technologies and APIs
• Passion for best design and coding practices and a desire to develop new bold ideas
• Experience in planning, designing architecture and working with teams
• Experience with SaaS product or an early stage startup is a plus

Who we are looking for :

We are looking for a Software Engineering Manager with experience with back-end and/or front-end (MEAN or MERN Stack) teams.

Role and Responsibilities:

- Strong proficiency in Javascript

- Experience on UI framework (Angular, React) and/or knowledge of Node.js and frameworks available for it such as Express, socket.io etc. depending on your technology stack

- Experience in working with teams to integrate APIs

- Translate designs and wireframes into high-quality code

- Building reusable components and libraries for future use

- Optimize application for optimal performance and scalability

- Proficient understanding of code versioning tools, such as Git

- Good with agile development practices such as continuous integration and deployment

- Implementing automated testing platforms and unit tests

Qualifications:

- Minimum BTech/BE or MCA required

- Experience working in a tech lead.

- Excellent communication and organization skills

Responsibilities : 

• Create a systematic, process-driven approach to brands outreach and relationship management
• Develop and execute partnerships strategy for product offerings
• Partner with businesses that help reinforce the brand position and drive user growth
• Research partners, identify key players and generate interest
• Collaborate & lead immediate and cross functional team members to align our internal goals with new and existing partner relationships and the deployment
• Negotiate and finalize deals in accordance with company’s contract guidelines and policies
• Mentor and manage execution teams interacting with our customers and internal stakeholders to deliver goals as per partner agreement
• Drive automation of processes across channels for enhanced customers experience
• Design and implement necessary analytics to measure and optimize Partnerships
• Continuously review procedures, controls, and systems to give recommendations for improvements in quality, efficiency & TAT.
• Deliver a great experience to our partners when working with our organization - you will represent our brand and be our partners’ liaison internally.

Expectations & Skills: 

• Proven ability to develop relationships, negotiate, coordinate and problem solve with external partners
• Strong research skills to be able to evaluate opportunities from strategic, brand, financial, and operational perspectives
• Excellent interpersonal skills with the ability to think and communicate creatively, thoughtfully, and on your feet with diverse teams
• Strong team player with excellent track record of success in high matrix, fast-paced environments with changing priorities

Qualification & Experience: 

• 5+ years of experience working in a Brand partnerships & alliances team, preferably in front facing roles
• Prior experience of having worked on strategic brand deals

Manager - Brand Partnerships will directly report to the Head of Uable Store. 

• Define software requirements for embedded software applications
• writing software requirements (SWE.1) requirements using DOORS.  Includes requirements analysis from systems requirements or customer requirement documents.
• Participate in software development processes such as requirements capture, analysis, linking software requirements to system requirements and architecture, customer specifications.
• Software requirements development, flow-down and management, traceability using DOORS or equivalent requirements capture tool.
• Work within ASPICE process objectives, achievement of ASPICE levels and supporting audits

Job Description:

We are looking for a Big Data Engineer who have worked across the entire ETL stack. Someone who has ingested data in a batch and live stream format, transformed large volumes of daily and built Data-warehouse to store the transformed data and has integrated different visualization dashboards and applications with the data stores.    The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

Responsibilities:

• Develop, test, and implement data solutions based on functional / non-functional business requirements.
• You would be required to code in Scala and PySpark daily on Cloud as well as on-prem infrastructure
• Build Data Models to store the data in a most optimized manner
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implementing the ETL process and optimal data pipeline architecture
• Monitoring performance and advising any necessary infrastructure changes.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Proactively identify potential production issues and recommend and implement solutions
• Must be able to write quality code and build secure, highly available systems.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Review peer-codes and pipelines before deploying to Production for optimization issues and code standards

Skill Sets:

• Good understanding of optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable data size (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Creation of DAGs for data engineering
• Expert at Python /Scala programming, especially for data engineering/ ETL purposes