Senior Data Engineer

Job Summary

We are seeking a highly skilled and experienced Senior Salesforce QA Engineer to lead the end-to-end quality assurance for our enterprise Salesforce platform. In this role, you will design robust test strategies, establish automated testing pipelines, and validate complex custom configurations, Apex code, and integrations. As a senior member of the team, you will bridge the gap between business requirements and technical execution, ensuring the delivery of high-quality, scalable solutions across Sales, Service, and Custom Clouds.

Key Responsibilities

• Test Strategy & Planning: Define, implement, and maintain comprehensive test strategies, test plans, and test cases covering functional, regression, integration, and end-to-end scenarios.

• Test Automation: Architect, scale, and maintain automated testing frameworks using enterprise tools (e.g., Provar, Tricentis Tosca, or Selenium with Java/Python) specifically optimized for Salesforce's dynamic UI.

• Complex Custom Validation: Validate complex programmatic customizations (Apex classes, Triggers, Lightning Web Components) and declarative features (Advanced Flows, Validation Rules).

• Integration Testing: Lead end-to-end API testing (REST/SOAP) to verify seamless data flow between Salesforce and upstream/downstream external systems.

• Environment & Release Management: Oversee sandbox deployments, data masking, and regression testing during Salesforce seasonal releases and monthly deployment cycles.

• Defect Lifecycle Management: Own the defect tracking process in Jira or Azure DevOps, collaborating closely with developers, business analysts, and product owners for rapid root-cause resolution.

• Mentorship & Leadership: Provide technical guidance and mentorship to junior QA engineers and lead user acceptance testing (UAT) phases with business stakeholders.

Required Technical Skills & Qualifications

• Experience: 5 to 10 years of dedicated software quality engineering experience, with a minimum of 3+ years focused exclusively on testing Salesforce ecosystems.

• Salesforce Core Knowledge: Deep understanding of Salesforce architecture, data models, object relationships, sharing rules, and platform governor limits.

• Automation Expertise: Hands-on experience developing framework code or no-code architectures using tools like Provar, Selenium WebDriver, Tricentis Tosca, or UFT.

• API Testing: Proficient in API testing tools such as Postman, SoapUI, or automated API frameworks.

• Agile & Devops: Strong experience working within Agile/Scrum methodologies and integrating automated tests into CI/CD pipelines (e.g., Copado, Jenkins, GitHubActions).

• Data Management: Proficiency in writing SQL queries and utilizing Salesforce Data Loader for test data creation and verification.

Job Title: Social Media & Marketing Intern (Technical Background Preferred)

Location: Panchkula, Haryana

Duration: 6 Months

Type: Internship (Paid)

Joining: Immediate joiner (Preferred)

About Company

Aaizel Tech is an innovative technology startup working in AI, cybersecurity, and digital solutions. We create impactful digital content and are looking for a creative Video Editor Intern with a technical mindset.

Roles & Responsibilities

• Manage and handle company social media accounts (Instagram, LinkedIn, YouTube, etc.)
• Create engaging content, including posts, captions, blogs, and marketing copies
• Plan and execute social media strategies to increase brand visibility and engagement
• Edit and produce short-form video content (reels, shorts, promotional videos)
• Collaborate with design and tech teams for campaigns and product promotions
• Work on UI/UX content alignment for marketing creatives and digital platforms
• Assist in PR activities, outreach, and brand communication
• Track performance metrics and optimize content based on insights

Requirements

• Background in B.Tech / BCA / Technical field preferred (Journalism / Mass Communication also acceptable)
• Strong content writing and storytelling skills.
• Basic knowledge of video editing tools (Adobe Premiere Pro, After Effects, CapCut, etc.)
• Understanding of UI/UX fundamentals.
• Hands-on experience or interest in managing social media platforms.
• Good communication and PR skills.
• Creative mindset with attention to detail.
• Ability to work in a fast-paced environment and meet deadlines.

Good to Have

• Knowledge of current social media trends and algorithms.
• Basic graphic design skills (Canva, Figma, etc.)
• Familiarity with AI tools for content creation.
• Previous internship or project experience in marketing/social media .

Perks & Benefits

• Hands-on experience in fast-growing technologies.
• Certificate of Internship.
• PPO (Pre-Placement Offer) based on performance.
• Exposure to real-world projects in the AI & tech domain.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Looking for the candidates who have a experience of sales, telesales and excel. Also client handling.

Requirements:

• Strong understanding of Nodejs & front-end Technology.

• Strong understanding of MEAN or MERN Stack.

• Strong knowledge of HTML, CSS, RWD, Javascript, and JQuery.

• Bring 1+ years of Experience in Node with typescript or React.

• Strong OOPS ( Object Oriented Programming ) concepts.

• Good knowledge of browser caching, working with cookies and Java scripts for faster website loads.

• Mean/Mern Stack Developer with hands-on experience in Node.js, typescript, and angular.

• Experience developing and improving REST APIs.

• Experience working with AWS Clouds/Azure.

• Experience building web UI dashboards and other self-service solutions.

• Relational DB knowledge (MySQL, PostgreSQL, Oracle, or SQL Server).

• NoSQL knowledge (MongoDB, Redis, Cassandra, or Hadoop).

• Ability to recite design patterns.

• Experience leading Agile projects and getting results in Scrum or Kanban teams and workflows.

• Experience with practices such as Test-Driven Development (TDD) is a plus

Responsibilities

• Deliver end to end quality and automation independently using agile methodologies
• Translate deep insight of architecture, product, specifications into a robust test plan covering all aspects of testing including functional, reliancy, performance, load, scalability and security. 
• Evaluate & apply the latest tools, techniques and research insights to drive improvements into a world-class data analytics engine
• Develop robust test automation that is reliable and maintainable and provides accurate assessment of product quality
• Integrate test automation scripts into build system for repeatable execution
• Collaborate with other engineering and customer success functions to simulate customer data and usage patterns  to execute test runs, identify and  fix customer issues and make sure that customers get highly reliable, reliant and optimized Dremio experience 
• Analyze and debug customer issues in customer environments.
• 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 QA/automation engineering experience on large scale distributed systems
• Deep understanding in Authentication, Single Sign-on and Identity Management systems like AWS IAM, Azure AD, Ping, Okta and Auth0
• Hands on experience in testing Role based Access Control Authorization Model in Cloud and Database Systems
• Proficiency in any of Java/C++/Python/Go and automation frameworks
• Hands on experience in integration of automation using CI/CD tools like Jenkins
• Experience in planning and executing QA/Automation tasks to completion and taking ownership of quality during a set of sprints.
• Experience in designing, implementing, executing and analyzing automated  tests for complex, production system software.
• Experience in analyzing deep product issues and following issue resolution 
• 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
• Hands on experience with various Backend/UI automation frameworks and tools

• 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 Data Lake and Catalog systems

• 5+ years of software development or site reliability engineering or equivalent experience
• Skilled at problem solving, algorithms, and data structures
• Building tools and scripting frameworks from scratch
• Working with Cloud Automation tools like CloudFormation, Terraform, CDK, aws-cli
• Scripting languages like Python, Groovy, PowerShell, Bash, Perl etc.
• Configuration automation using Ansible or equivalent tools
• Exposure to Windows, Linux administration skills
• Project management tools like Jira, Trello
• Prior experience in dealing with Datastore technologies like Postgres, MySQL, SQL, DynamoDB is desirable
• Familiarity with basic networking, security and cloud engineering concepts
• Team player who is eager to help others to succeed through mentoring and leading by example
• Highly collaborative with effective written and verbal communication skills

Company Profile:  

"Founded in 2012, Pay1 empowers neighbourhood retail businesses & micro-entrepreneurs by adding revenues streams and providing them access to new products, credit and technology. With a network of 300k+ merchants spread across 350+ cities in India, Pay1 is at the forefront of combining retail, finance, travel and consumer technology to create an integrated business ecosystem unique to the Indian markets. 

The platform has a wide array of distinguished services such as Digital Payments, Banking Services, Travel Booking Services, Financial services (MFs. Insurance, loans, gold investments), Remittances, Recharges, Bill Payments, B2B commerce and many more. The diverse selections of services provide our merchant network with immense growth opportunities that have been previously unexplored in the Indian retail scenario."

Job Description:

• Establish strategic tie ups with the large & medium size merchant aggregators for the enablement of Digital Lending services offered.
• Create value proposition, pitch presentation and designing SLA for business partnerships
• On boarding new partners and be an interface between internal teams and partner for system and process support
• Commercial and Contract Negotiations with prospective business partners and structuring financial proposals with best-value proposition
• Key Account Management with Merchant Aggregators for New Business Opportunities / Enhancements
• Suggest measures / solutions for tapping opportunities like product customization/ innovation.
• Keep abreast of the Digital Lending landscape, competitors and business needs.
• Issue resolution in relation to Digital Lending product related issues with Partners