UI/UX Designer

Key Responsibilities:

• Create and maintain test cases to validate data extraction, transformation, and loading processes within Snowflake.
• Conduct end-to-end testing of ETL workflows to ensure data integrity and accuracy throughout the entire pipeline.
• Collaborate closely with data engineers, developers, and stakeholders to understand data requirements and business logic.
• Identify, document, and report defects or discrepancies in data transformations or loading processes.
• Develop and maintain automated test scripts and frameworks for ETL testing in Snowflake.
• Perform performance testing to evaluate the efficiency and scalability of Snowflake data pipelines.
• Troubleshoot issues and work with cross-functional teams to resolve data-related problems.
• Ensure compliance with data governance, security, and regulatory standards during testing processes.
• Document test results, findings, and recommendations for improvements in testing procedures.
• Strong Hands on, experience in SQL.
• Good to have testing experience ETL build using DBT, Pyspark, Glue, Lambda.

Primary Skillsets:

• ETL Testing
• Python Scripting
• SQL
• Snowflake
• Performance Testing

Good to Have:

• DBT
• Pyspark
• Glue
• Lambda

• Architect, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI’s that match designs.
• Integrate third-party API’s.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.
• Assist with building estimates.
• Work with modern tools including Jira, Slack, GitHub, Google Docs, etc.

• 2 to 4 years of professional experience working with React Native.
• Firm grasp of the JavaScript, Node.js language and its nuances.
• Knowledge of (functional or object-oriented) programming.
• Ability to write well-documented, clean JavaScript code.
• Rock solid at working with third-party dependencies and debugging dependency conflicts.
• Familiarity with native build tools, like XCode, Gradle (Android Studio, IntelliJ).
• Understanding of REST APIs, the document request model, and offline storage.
• Experience in integrating Core Android/IOS modules with React Native.

We are seeking a freelance .Net Developer with 8+ years of experience

What we are looking for!

Backend - .NET core, C#, and Entity Framework

UI – Angular or React

Cloud: Azure

DevOps tools: Jenkins, Kubernetes, Jenkins, etc

• Experience performing full-stack web and Windows application development
• 8+ years of relevant experience in Apps Development or systems analysis role
• 7+ years of web development in C#; .NET Core experience preferred
• 4+ years of experience in UI development using frameworks like Angular and ReactJs
• Experience with Web Services/ API
• 6+ years of MS SQL Server database development experience
• Solid experience with Bootstrap, jQuery, HTML, CSS, and JavaScript
• Experience with ASP .NET and MVC preferred
• Experience with Entity Framework / LINQ
• Experience with MS Visual Studio IDE; Visual Studio Code preferred
• Experience with SDLC tools, and DevOps processes including TFS, and Bitbucket.
• Experience with Windows Server operating systems including certificates and NAS/SAN connectivity.
• Experience with Azure Cloud and Azure DevOps.

1. Creating ads for brands social media pages
2. Creating logos, brochures, packaging etc
3. Co ordinating with clients to understand their requirement and delivering the same on time

In today’s marketing-dependent consumer world, businesses demand innovative brand solutions and our client is engaged in providing brand solutions across businesses. They import renowned global brands & distribute the same. They have a dedicated eCommerce practice to build digital retail footprints for their brands in India. They focus on major categories under FMCG such as F&B, Personal care, etc. and also Home & Fabric Care.

Founded in 2003, our client has over 250 Pan-India Distributors and more than 300 SKUs. They deal with 25+ brands and some of the brands are Mogu Mogu, SAN REMO, Simpkins, Moccona, OMINO BIANCO, etc.

As a Assistant Manager Content, you will be responsible for creating impactful content across all digital platforms.

• Translating complex communication to Intuitive, engaging and effective form
• Writing marketable content on all digital domains
• Being responsible to audit and edit content
• Regularly producing content as per need and requirement
• Thriving in a fast-paced, dynamic environment and prioritizing and pivoting accordingly to the current work demand
• Generating fresh story concepts, narrative arcs, and creative themes
• Creating content that motivates, inspires, educates, informs, sells, and simply, provides information, across a wide variety of digital platforms
• Working closely with brands globally
• Actively engaging in social media to promote our brands & content

Desired Candidate Profile

• Ability to think beyond operational hurdles
• Ability to manage simultaneous projects and meet deadlines with agreed timelines & parameters
• Prior experience working in an early-stage start-up
• Proficiency in MS Excel and/or Google spreadsheets    

• Make and attend necessary phone calls - inbound and outbound calls.
• Provide the required information to the customers
• Resolve any queries regarding gift delivery or transit damage.
• Maintain database by updating customer information daily
• Write communication scripts for inbound calls
• Keep the team informed about customer calls and demos regularly

• Coordinate with global hiring managers to identify staffing needs
• Determine selection criteria
• Source potential candidates through online channels (e.g. social platforms and professional networks)
• Plan interview and selection procedures, including screening calls, assessments, and in-person interviews
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System
• Design job descriptions and interview questions that reflect each position’s requirements
• Lead employer branding initiatives
• Organize and attend job fairs and recruitment events
• Forecast quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates

Who we have in mind: 

• Proven work experience as a Talent Acquisition Specialist or similar role
• Familiarity with social media, resume databases, and professional networks (e.g. LinkedIn, https://resources.workable.com/tutorial/post-a-job-on-stackoverflow">Stack Overflow, and Github)
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods
• Knowledge of Applicant Tracking Systems (ATSs)
• Excellent verbal and written communication skills
• A keen understanding of the differences between various roles within organizations

Education: Must have a bachelor’s / Master’s degree in Management preferably in Human Resources, Business, or any other related field from a premier institute.

Experience: A candidate for the position will demonstrate a minimum of 4 years of relevant working experience in the IT industry.

Communication Skills: The position demands constant interactions with employees, management, and stakeholders and, therefore, excellent communication skills are an absolute necessity.

Computer Knowledge: A candidate for this position must be proficient in the use of MS Word, Excel, and PowerPoint, all necessary for the creation of not only visually but verbally engaging materials, reports, presentations, and proposals for departmental heads and management, stakeholders.

Interpersonal Skills:

• He should also possess good
• Verbal and non-verbal communication.
• Listening skills.
• Assertiveness.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology