Data Engineer

• Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
• Can drive multiple projects both from operational and technical standpoint.
• Ideate and build PoV or PoC for new product that can help drive more business.
• Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.
• Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.
• Lead architecture discussions, align with business needs, security, and best practices.
• Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
• Understanding of Medallion architecture pattern
• Has worked on at least one cloud platform.
• Has worked as data architect and executed multiple end-end data engineering project.
• Has extensive knowledge of different data architecture designs and data modelling concepts.
• Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.

Required Tech Stack

• Strong proficiency in SQL
• Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP
• Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
• Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.)
• Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.
• Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java)
• Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables)
• Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.
• Has worked on Kafka and real-time streaming.
• Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.)
• Has worked on code and SQL query optimization.
• Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.
• Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates)

• Drive Customer Success Outcomes
  • Increase renewal rates and reduce churn
  • Influence future lifetime value through higher product adoption, customer satisfaction and overall health scores
  • Drive new business growth through greater advocacy and reference-ability
• Optimize Customer Lifecycle
  • Identify opportunities for continuous improvement
  • Learn from best practices in industry
  • Take Decisions on contentious issues during customer journey
• Manage Customer Success Activities
  • Customer Support Management
  • Customer Success Management
  • Renewals
  • Billing and Collections (along with finance)
  • Advocating for Cross Sell and Upsell
• Inspire Customer Success Across Company
  • Create company-wide culture of Customer Success
  • Align with Marketing around marketing to existing clients
  • Align with Product around driving product roadmap
  • Align with Sales around cross-sell and up-sell and focus on selling with a retention focus
  • Create company-wide customer feedback loop
  • Align with Finance around measurement and forecasting
  • Align with Executive Team around key metrics and objectives

Requirements:

• 2+ years experience in B2B organizations
• Strong empathy for customers AND passion for revenue and growth
• Ability to manage influence through persuasion, negotiation, and consensus building
• Ideally combined background of post-sale and sales or business experience
• Excellent communication and presentation skills
• Deep understanding of value drivers in recurring revenue business models
• Analytical and process-oriented mindset
• Demonstrated desire for continuous learning and improvement
• Relevant Bachelor’s degree; preference for computer science or related degrees
• Need - good excel skills. Want - good ppt skills
• Handling tough situations or unhappy customers

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

JOB SKILLS & QUALIFICATIONS

WHAT YOU'LL DO

• Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
• Set and maintain engineering standards while to grow and go far.
• Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
• Foster the technological evolution of services and improve their end-to-end quality attributes.
• Be committed to Continuous Integration and Continuous Deployment.

 Preferred Skills

• Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
• Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
• Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
• A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
• Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.

As an SSE, you will play a crucial role in designing, developing, and maintaining our backend systems

that power our platform. The ideal candidate will have a solid background in Python Django and a

strong understanding of databases, caching, and distributed systems.

● Design, develop, and maintain robust, scalable, and high-performance backend systems using

Python Django.

● Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

● Optimize application performance and scalability by implementing caching strategies, load

balancing, and distributed computing techniques.

● Ensure data integrity and security by implementing best practices for data storage, retrieval,

and access control.

● Develop and maintain integrations with external APIs and services to support seamless

interactions with third-party systems.

● Identify and address performance bottlenecks and other system issues to improve overall

system efficiency.

● Write clean, maintainable, and testable code following industry-standard coding practices.

● Conduct code reviews and provide constructive feedback to peers to ensure code quality and

adherence to best practices.

● Mentor junior team members and assist in their professional growth.

What you’ll do

Roles and Responsibilities

• Manage large amounts of incoming phone calls, Identify and assess customers needs to achieve satisfaction.
• Build sustainable relationships and trust with customer accounts through open and interactive communication.
• Provide accurate, valid, and complete information by using the right methods.
• Meet customer service team call handling quotas.
• Handle customer complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution.
• Follow communication procedures, guidelines and policies.

Qualifying Criteria

• 6 Months to 1 Year of Past experience in customer success roles in international BPOs.
• Fluent in English.
• Strong phone handling skills.
• Ability to multitask.
• Prioritise and Manage time effectively.
• Academics - Minimum Graduate
• Age - 20 to 25 years 

About UniAcco

UniAcco is an initiative by Adventum Offshore. UniAcco is a global student accommodation platform for students actively looking to study and stay in the UK.  We are a cross-border platform and one-stop solution where students can compare, consult, and choose their accommodation from several verified properties, simply and securely. By providing concierge services to premium customers to ensure them the best hassle-free experience abroad.

About the Role

The Dremio India team owns the development of the cloud infrastructure and services that power Dremio's Data Lake Engine. With focus on query performance optimization, supporting modern table formats like Iceberg, Deltalake and Nessie, this team provides endless opportunities to to define the products for next generation of data analytics.

In this role, you will get opportunities to impact high performance system software and scalable SaaS services through application of continuous performance management. You will plan, design,  automate, execute the runs followed by deep analysis and identification of key performance fixes in collaboration with developers. Open and flexible work culture combined with providing employees ownership of the work they do will help you develop as a leader. The inclusive culture of the company will provide you a platform to bring fresh ideas and innovate. 

Responsibilities

• Deliver end to end performance testing independently using agile methodologies
• Prepare performance test plans, load simulators and test harnesses to thoroughly test the products against the approved specifications
• Translate deep insight of architecture, product & usage into an enhanced automated performance measurement & evaluation framework to support continuous performance management.
• Evaluate & apply the latest tools, techniques and research insights to drive improvements into a world-class data analytics engine
• Collaborate with other engineering and customer success functions to simulate customer data and usage patterns, workloads to execute performance runs, identify and  fix customer issues and make sure that customers get highly performant, optimized and scalable Dremio experience 
• Analyze performance bottlenecks, root cause issues, file defects, follow up with developers, documentation and other teams on the resolution.
• Publish performance benchmark report based on test runs in accordance with industry standards
• Regularly communicate leadership team with an assessment of the performance, scalability, reliability, and robustness of products before they are exposed to customers
• Analyze and debug performance issues in customer environments.
• Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment.
• Actively participate in code and design reviews to maintain exceptional quality and deepen your understanding of the system architecture and implementation

Basic Requirements

• B.Tech/M.Tech/Equivalent in Computer Science or a related technical field 
• 8+ years of performance automation engineering experience on large scale distributed systems
• Proficiency in any of Java/C++/Python/Go and automation frameworks
• Hands on experience in integration performance automation using CI/CD tools like Jenkins
• Experience in planning and executing performance engineering tasks to completion and taking ownership of performance epics during a set of sprints.
• Experience in designing, implementing, executing and analyzing automated performance tests for complex, production system software.
• Experience in analyzing performance bottlenecks in system, performing root cause analysis, and following issue resolution workflow to tune the system to provide optimized performance
• Ability to derive meaningful insights from the collected performance data, articulate performance findings effectively with senior team members to evaluate design choices.
• Experience with database systems internals, query optimization, understanding and tuning query access plans, and query execution instrumentation.
• Hands on experience of working projects on AWS, Azure and Google Cloud Platform 
• Understanding of distributed file systems like S3 or ADLS or HDFS and HIVE
• Ability to create reusable components to automate repeatable, manual activities
• Ability to write technical reports and summary and present to leadership team
• Passion for learning and delivering using latest technologies
• Excellent communication skills and affinity for collaboration and teamwork
• Passion and ability to work in a fast paced and agile development environment.

Preferred Qualification 

• Hands on experience of multi-threaded and asynchronous programming models
• Hands on experience  in query processing or optimization, distributed systems, concurrency control, data replication, code generation, networking, storage systems

UROOJ is looking for a Front-End UI/UX Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides.

Technical Experience:

• Minimum 5 years of interactive design experience
• Must be highly proficient in CSS3, HTML5, Javascript, Web
  technologies such as Angular2, Bootstrap,Backbone.JS, React Native,
  React.JS, JQuery, Knockout, and Redux
• Well versed with RESTful web services
• Experience developing custom reusable components
• Experience developing complex design components.
• Strong knowledge of Object-Oriented Programming
• Good understanding/experience in the following technologies would be a plus:
• Agile Methodologies
• Data Modelling / UML
• Knowledge of Unix Shell scripting

Desired Candidate Profile

• Minimum 5-10 years of experience in UI development
• Bachelor's Degree preferred, or equivalent combination of education, training, and experience
• Must possess and demonstrate a good understanding of user interface design, usability
• Extremely attentive to details and efficiency to work under tight deadlines
• Must be Result oriented & should have an ability to work independently
• Experience in resolving cross-browser compatibility issues
• Makes it a point to avoid typical loopholes and points of failure in the code and passionate about solving issues as quickly as possible
• Attention to detail and pixel perfection
• Should be independent and confident in handling daily task

• Provide the team with a vision and objectives; manage key performance indicators
• Set the monthly, weekly, daily targets for the team and ensure that the targets are achieved
• Maintain the sales report of the team
• Needs to own hiring, firing and deliverables of at least 10 education counselors
• Motivating & mentoring team to achieve & exceed targets
• Design & develop business models
• Conducting weekly reviews for performance & training
• Identifying the areas of improvements & KPI’s
• Involved in a lot of calling on phone for negotiation and objection handling
• Are dynamic professionals who drive their team to exceed business targets
• Possess sound knowledge and understanding of consumer (students and parents) behavior
• Thrive in a fast paced ambiguous work environment
• Have excellent communication skills in English and the regional language
•