11+ PRTG Jobs in India

About the Role

We are seeking motivated Data Engineering Interns to join our team remotely for a 3-month internship. This role is designed for students or recent graduates interested in working with data pipelines, ETL processes, and big data tools. You will gain practical experience in building scalable data solutions. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in designing and building data pipelines for structured and unstructured data.
• Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Help optimize data workflows for performance and scalability.
• Collaborate with data scientists and analysts to ensure data quality and consistency.
• Document workflows, schemas, and technical processes.

Requirements

• Strong interest in data engineering, databases, and big data systems.
• Basic knowledge of SQL and relational database concepts.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of ETL concepts and data pipelines.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
• Good problem-solving skills and ability to work independently in a remote setup.

What You’ll Gain

• Hands-on experience in data engineering and ETL pipelines.
• Exposure to real-world data workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

About Us

We are a dynamic advertising agency offering end-to-end creative and media solutions. Our team works collaboratively to deliver impactful campaigns for clients across various industries.

Role Overview

We are looking for a Sales Executive with at least 2 years of experience in sales (media industry experience is preferred but not mandatory). The ideal candidate should be passionate about meeting sales targets, maintaining client relations, and contributing to business growth.

Key Responsibilities

• Prospect & Outreach: Identify potential clients and initiate contact to introduce the agency’s media services.
• Client Servicing: Understand client needs, coordinate with internal teams, and present tailored advertising solutions.
• Sales Targets: Meet or exceed monthly and quarterly sales quotas.
• Collaboration: Work closely with the Sales Manager and other team members to develop and execute strategic sales initiatives.
• Reporting: Maintain accurate sales records, prepare regular reports, and provide updates to management.
• Market Research: Keep abreast of industry trends, competitive landscape, and new advertising opportunities.

Requirements

• Experience: Minimum 2 years in a sales role (media sales background is a plus).
• Education: Bachelor’s degree in any discipline (Sales or Marketing specializations preferred).

• Skills:

- Strong communication, negotiation, and interpersonal abilities.

- Proven track record of achieving sales targets.

- Self-motivated, goal-oriented, and a quick learner.

- Basic understanding of advertising and media platforms is advantageous.

• Salary Range: INR 4–8 Lakhs per annum (based on experience and performance), plus incentives.

Why Join Us?

• Competitive salary with a bonus structure to reward high performance.
• Learning and growth opportunities in a fast-paced environment.
• Exposure to varied industry sectors and brands.
• Supportive team culture that values innovation and collaboration.

Job Type: Full-time

Benefits:

• Cell phone reimbursement
• Food provided
• Provident Fund

Wissen Technology is hiring for Data Engineer

About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: Wissen Technology is hiring a Data Engineer with expertise in Python, Pandas, Airflow, and Azure Cloud Services. The ideal candidate will have strong communication skills and experience with Kubernetes.

Experience: 4-7 years

Notice Period: Immediate- 15 days

Location: Pune, Mumbai, Bangalore

Mode of Work: Hybrid

Key Responsibilities:

• Develop and maintain data pipelines using Python and Pandas.
• Implement and manage workflows using Airflow.
• Utilize Azure Cloud Services for data storage and processing.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity throughout the data lifecycle.
• Optimize and scale data infrastructure to meet business needs.

Qualifications and Required Skills:

• Proficiency in Python (Must Have).
• Strong experience with Pandas (Must Have).
• Expertise in Airflow (Must Have).
• Experience with Azure Cloud Services.
• Good communication skills.

Good to Have Skills:

• Experience with Pyspark.
• Knowledge of Kubernetes.

Wissen Sites:

• Website: http://www.wissen.com
• LinkedIn: https://www.linkedin.com/company/wissen-technology
• Wissen Leadership: https://www.wissen.com/company/leadership-team/
• Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
• Wissen Thought Leadership: https://www.wissen.com/articles/

Required Experience - 2+ Years

Work location - Remote

Must have skills - PHP , YII , OOPS

Requirements:

• Experience in Frameworks: YII
• Must have good analytical and problem solving skills.
• Good Knowledge of OOPS.
• Write error free code and follow coding standards. Able to perform Code Review job.
• Work closely with QA person to assist in the testing process.
• Perform R&D tasks if assigned and communicate with the Designer and UI team.
• Build reusable code and libraries for future use.
• Able to work closely with the team and meet the tight deadlines where necessary.
• Strong Communication Skills.

SRE - Tech Lead (DevOps):

Location: Permanent Work From Home Option
Notice: Candidates with a notice period of 30 days and less and preferred

SRE-DevOps- Tech Lead - JD:

Srijan is hiring for Site Reliability Engineering (SRE), We are looking for SRE/DevOps- Tech Lead or Sr. Tech Lead with strong automation skills and a good understanding of how to build & run secure & reliable platforms for cloud-native applications. Please find below the detailed job description and kindly go through the same for reference:-

Minimum Experience: 6+ years in DevOps/SRE

Permanent WFH option

Job Description:-

The focus of this role is to build scalable, resilient, secure infrastructure for cloud-native applications whilst automating every mundane task you could think of and build observability dashboards, set up alerts, etc to provide optics to relevant stakeholders. In a nutshell: “You are keepers of Production environments”. You must be a problem solver with the ability to multitask and come with strong collaboration and communication skills.

Key Responsibilities:-

• Proactively monitor and review application performance

• Handle on-call and emergency support

• Ensure software has good logging and diagnostics

• Create and maintain operational runbooks

• Contribute in Solution Designing and evaluating Technical Debt

• Set right practices for Well-Defined Architecture & to minimize toil.

• Own SLI, SLO configuration as per Error Budget

• Maintain production services through measuring and monitoring availability, latency, and overall system health.

• Practice sustainable incident response and blameless postmortems.

• Not be afraid to contribute changes back to the Software engineering team to improve the systems.

• Managing the delivery pipeline into production.

• Able to mentor junior members on regular basis

• Troubleshooting issues with web applications

• Understanding of security principles and best practices

• Ensuring that critical data is backed up

• Configuration of monitoring systems including infrastructure monitoring and Application Performance Monitoring systems such as New Relic.

• Ensuring that web application infrastructure is built

• Ability to act as Customer Technical Advocate and negotiate well with peers on technical fronts.

• Flexible enough to work in different Shifts for hyper business requirement

• Ability to handle multiple global clients on tech front and generate desired reports to represent health of SRE Delivery.

Skills/Experience:-

• A key skill of a SRE Tech Lead is that they have a deep knowledge of the application, the code, and how it runs, is configured, and scales. That knowledge is what makes them so valuable at also monitoring and supporting it as site reliability engineers.

• System administration, security, and networking

• The SRE Tech Lead expected to have a good understanding of system administration (Linux or Windows) and networking.

• Essential commands

• User and Group Management

• Knowledge of networking concepts (DNS, TCP/IP, and Firewalls)

• Service Configuration

• Storage Management

• Good grasp of fundamental security concepts

• Good understanding of infrastructure as code principles.

• Knowledge of a scripting language such as Bash

• Ability to configure infrastructure using a Configuration Management technology such as Puppet, Chef, or Ansible.

• Familiarity with Jenkins or any other CI/CD tool

• Proficiency in a high-level programming language such as Python or Go.

• Understanding of container technologies such as Docker, Kubernetes

• 2 yrs+ hands on experience with container orchestration technologies such as ECS, EKS, AKS or Kubernetes would be beneficial.

• Use Terraform and other IaC to deploy cloud infrastructure.

Cloud technologies:-

• Experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS/Azure

• Hands-on experience using compute, networking, storage, and database AWS/Azure services

• Hands-on experience of 4 yrs+ with AWS/Azure deployment and management services

• Ability to identify and define technical requirements for an AWS/AZURE-based application

• Ability to identify which AWS/AZURE services meet a given technical requirement

• Knowledge of recommended best practices for building secure and reliable applications on the AWS/AZURE platform

• An understanding of the AWS/AZURE global infrastructure

• An understanding of network technologies as they relate to AWS/AZURE

• An understanding of security features and tools that AWS/AZURE provides and how they relate to traditional services

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.

My Digital Shelf is an expanding and highly entrepreneurial start-up research and production company producing B2B conferences for the global Digital Retail and Consumer goods industry

The role of the Marketing Manager will be to perform general duties to support event planners, project managers and the Global Event team

• Social media daily management - primariliy linkedin and Twitter 
• Digital marketing - SEO, PPC advertising and more 
• Website content develpoment and management
• Copy writing for press releases, website and ad-hoc pieces
• Market research including competitot analysis and performance improvement 
• Liaising with external media agencies and association for advertising campaigns and barter agreements/partnership opportunities 
• Liaising with suppliers including printers, design agencies and publications
• Reporting directly to the Director and planning the event calendar with them
• Ad hoc support to team including assisting with events management and promotional activity
• Maintain production schedules for event materials/collateral
  Work on event follow-up and Event Metrics and Analysis

Candidate requirements:

• Graduated to degree level or equivalent in your chosen discipline, ideally Marketing, Social Sciences, Humanities, Languages or similar
• Fluent in written and spoken English
• Ability to work under pressure and meet demanding deadlines
• Confident and mature approach, reflective of the profile of the position and organisation

• Ability to work independently and show a strong sense of initiative, taking ownership of key projects when required with a proactive attitude
• Ability to multitask, prioritise and be flexible is essential
• Works well as part of fast-paced team, prioritising effectively and managing workload
• Excellent IT skills - proficient in both Windows and Mac operating systems (i.e. PowerPoint, Keynote, Excel, Word, Outlook)
• Strong interpersonal and communication skills both verbal and written, able to successfully interact with all parts of the business and stakeholders at all levels
• Excellent organisational, analytical and administrative skills, meticulous attention to detail
• Flexible in approach and able to amend hours as required to suit business needs
• Able to work with confidential material and sensitive information with absolute discretion