Data Engineering

Experience: 5-7

NP - immediate to 15 days

Job Location:Bangalore (client site)

Working days : 6 days a week

1 Internal round of interview and 2 client round

JD for  Senior Software Development Engineer in Test – SDET 3

● 4–7 years of experience in software testing and test automation.

● Strong hands-on experience with API automation, backend testing, and end-to-end automation.

● Proven experience testing mobile apps (Android / iOS) or app-driven workflows.

● Strong programming skills in Python or Java, with a good understanding of OOP principles.

● Experience building or scaling test automation frameworks from scratch.

● Solid understanding of CI/CD pipelines, test reporting, and automation stability.

● Ability to debug complex failures across services and environments.

● Startup experience preferred — comfortable operating in fast-moving, ambiguous   setups.

HR Recruiter Intern- RemoteJob role and responsibility: - Utilize various sourcing methods, including job portals, social media, professional networks, and referrals, to attract a diverse pool of candidates. • Build and maintain a candidate pipeline for current and future job openings. • Review resumes and applications to assess qualifications and match them with job requirements. • Conduct telephonic interviews to evaluate candidates' skills, experience, and cultural fit. • Schedule and coordinate interviews with candidates and hiring managers. • Provide candidates with information about the company and job details. • Check references and perform background checks on selected candidates. • Collaborate with hiring managers to make informed hiring decisions. • Extend job offers and negotiate terms of employment with selected candidates. • Ensure a positive candidate experience throughout the recruitment process. • Provide timely feedback to candidates on their application status. • Maintain accurate records of all recruitment activities, including candidate interactions, interviews, and offers. • Ensure compliance with all relevant employment laws and regulations. • Collaborate with HR and hiring managers to develop and refine the organization's talent acquisition strategy.Timing:- 9AM to 6PMAge:- Above 18 Qualification- Minimum Pursuing Graduation Internship Duration- Minimum 3 Months & Maximum 6 Months Overall, participating in an HR recruiter internship will be a valuable investment in your future career, providing opportunities for learning, growth, and professional development. At our company for Human Resources (HR) recruiter interns, we offer a range of benefits, both personally and professionally. Here are some of the advantages: • Hands-On Experience. • Networking Opportunities. • Skill Development. • Resume Enhancement. • Exploration of Career Path. • Feedback and Evaluation.• Potential Job Offers.• Personal Growth.• Exposure to Industry Trends.• Contributing to the Organization.Stipend upon successful joining’s:- 0 to 4 - Nil5 to 8 - 3000 INR9 to 12- 5000 INR13 to 15- 7500 INR16 or above- 10000 INR and Best Performer Awards

About the Role:

We are looking for a skilled Full Stack Developer (Python & React) to join our Data & Analytics team. You will design, develop, and maintain scalable web applications while collaborating with cross-functional teams to enhance our data products.

Responsibilities:

• Develop and maintain web applications (front-end & back-end).
• Write clean, efficient code in Python and TypeScript (React).
• Design and implement RESTful APIs.
• Work with Snowflake, NoSQL, and streaming data platforms.
• Build reusable components and collaborate with designers & developers.
• Participate in code reviews and improve development processes.
• Debug and resolve software defects while staying updated with industry trends.

Qualifications:

• Passion for immersive user experiences and data visualization tools (e.g., Apache Superset).
• Proven experience as a Full Stack Developer.
• Proficiency in Python (Django, Flask) and JavaScript/TypeScript (React).
• Strong understanding of HTML, CSS, SQL/NoSQL, and Git.
• Knowledge of software development best practices and problem-solving skills.
• Experience with AWS, Docker, Kubernetes, and FaaS.
• Knowledge of Terraform and testing frameworks (Playwright, Jest, pytest).
• Familiarity with Agile methodologies and open-source contributions.

Role: Customer Service Executive/Technical Support Executive

Responsibilities:

• Call Handling from Customers and resolving the issues.regarding printers, routers , email issues.
• Supporting the Query and do the needful.
• Reporting to the team lead.
• Proactive work to be done.

As an Enterprise Security Architect you will join a growing organization to lead a modern enterprise security program. In this role the Architect will have responsibility for identifying, defining, developing, leading security technology strategy across a broad portfolio of IAM, Cloud, End Point, Network, Web security and related technology systems, and the assessment of new and emerging identity technologies at the very large enterprise scale.

As a senior member of the team you will engage and partner with senior leaders across the organization leveraging your extensive background in (managing / delivering / implementing / architecting) security technology combined with expertise in organizational and cross-functional communication to develop strategy, influence roadmaps, solution adoption, champion strategic opportunities / execution plans with the aim to improve security capabilities, reduce risk and position forward looking identity governance and security enhancements

• Responsible for defining an architectural vision and architecture for large complex solutions, which aligns with the enterprise architecture strategy, technology and platform choices

• Describes the solution intent and the associated operating environment, determining the primary systems/subsystems and their interfaces, defining non-functional requirements and architectural runway to support new epics/features and expand into new opportunities

• Ensures the solution is fit for purpose and use by working with stakeholders, vendors/service providers, and evaluating the impact of strategic design decisions

• Contributes to best practices, standard templates, and the architecture roadmap for defined domains.

• Creates endpoint/host, workplace productivity security reference architecture and design patterns for reusability.

• Contributes in the creation of the architecture roadmap of defined domains (Business, Application, Data and Technology) in support of the product roadmap

• Contributes to the development of best practices including standardized templates

• Works across business and technology to create the solution intent and architectural vision for large complex solutions and evolves it based on an emerging backlog

• Works with Product Manager/Owner to plan and prioritize technology focused backlog items for the architecture runway to enable business epics/features and expand into new opportunities

• Clarifies the architecture for the development teams to support implementation, and provides solution options to resolve any architectural impediments

• Performs design and code reviews to ensure all non-functional requirements for a solution are sufficiently met (e.g. security, performance, maintainability, scalability, usability, and reliability)

• The platform security architect must interpret business, technology and threat drivers, and develop practical security roadmaps to deal with these drivers.

• Develop blueprints and procedures to effectively secure company data against accidental or unauthorized modification, destruction or disclosure.

• Create and define the security architectures and roadmaps encompassing cloud architecture, access management, and monitoring.

• Design and develop data security architectures for cloud and cloud/hybrid-based systems.

• Align architectural design technical controls and solutions to industry best practices and guidelines (e.g., NIST CSF, CSA, CIS, OWASP)

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

Requirements:

• 10+ years of hands-on experience with scoping, sizing, designing, architecting & building IAM solutions across various technologies, or demonstrated ability to meet job requirements through comparable work experience.

• Expert level knowledge of authentication/authorization standards, protocols, and frameworks such as FIDO, OpenID, SAML, OAuth, JWT, CA, X.509, MTLS, etc.

• Technical expertise and experience with Microsoft MFA, SailPoint, CyberArk, ForgeRock, Okta, Ping, Active Directory, Azure Active Directory, AWS, Google Cloud Platform, Microsoft Azure, and IDM integration across domains

• Solid understanding of Cloud concepts and hands on knowledge on Azure/AD or other cloud identity environments.

• Experience designing and implementing security services and tools applied to GCP, Azure and AWS

• Expertise with Data Loss Prevention and CASB strategies and solutions supporting security of critical SaaS solutions such as Office 365, etc.

• Experience with Hybrid cloud architectures and designs

• Must have experience with Internet Application Hosting architectures, best practices and related technologies to effectively protect externally facing applications

• Experience with DevSecOps process, Container technologies (Docker, Kubernetes), API Gateways, and other common web application technologies is preferred

• Strong knowledge of enterprise security concepts/frameworks and products, secure design principles and best practices

• Strong verbal and writing skills to develop technical documentation and presentations

• Experience in leading technical architecture and security design discussions

• Experience managing multiple multi-level stakeholder relationships

• Bachelors in Computer Science, Computer Engineering or related field

“Such other task that Company may assign you time to time”.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility