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Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
Intro
We are OMP, a game changer that optimizes supply chains of the world’s leading companies with our very own smart software and services.
Are you a committed bug-hunter who gets a kick out of uncovering those hard-to-find flaws? Are you passionate about improving the quality of software by breaking down what other team members build? And do you have an inquisitive mind that enjoys keeping up with rapidly changing technologies?
Well, we have the job for you! Read on to learn more.
Profile
- A bachelor's or master’s degree or similar by experience in the field of supply chain solutions.
- At least 6 years of experience in a software testing role that included testing methodologies, tools, and processes, and writing clear, concise, and comprehensive test plans and test cases.
- A solid technical IT background.
- A passion for improving the quality of software products.
- The ability to work in a structured way and follow procedures, while simultaneously keeping a clear overview at all times.
- An eagerness to learn combined with resilience to time pressure.
- The ability to work independently and a willingness to proactively improve the efficiency of testing.
Job Description
As a Quality Assurance Test Engineer, you define comprehensive, detailed, and well-structured test scenarios and cases. You write functional and technical design documents according to quality assurance testing methodologies.
You are responsible for:
- Designing, developing, and executing automation scripts using different tools and languages, to perform web API, UI, load tests, and continuous integration testing.
- Accurately estimating the priority level and difficulty of the required testing and planning accordingly.
- Continuously optimizing and extending our test environments.
- Tracking bugs and documenting your actions, while continuously communicating with all parties involved such as software engineers, project managers, and consultants.
Bonus Points (Profile)
- Working experience with web applications and continuous integration testing (Docker, Jenkins, Git).
- A certificate in software testing (ISTQB).
Soft Skills
- Problem solving
- Communication
- Teamwork
- Pragmatic
- Passionate
Hard Skills
- Automation testing
- JavaScript or Python
- Oracle / SQL
- Git / Jenkins
- REST API

looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL
Job description
Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field
Requirements :
- Good interpersonal with excellent communication skills
- Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
- Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
- Conduct online and classroom training sessions by providing practical use cases and assignments
- Able to cater College Seminar, Workshop, Corporate training.
- Provide Interview Preparation and placement assistance to students
- Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.
Experience: 5+ Years
• Experience in Core Java, Spring Boot
• Experience in microservices and angular
• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should be able to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2
• Good knowledge of multi-threading
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should be able to express their design ideas and thoughts
Job Description:
Please find below details:
Experience - 5+ Years
Location- Bangalore/Python
Role Overview
We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.
Key Responsibilities
- Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
- Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
- Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
- Ensure data quality and consistency by implementing validation and governance practices.
- Work on data security best practices in compliance with organizational policies and regulations.
- Automate repetitive data engineering tasks using Python scripts and frameworks.
- Leverage CI/CD pipelines for deployment of data workflows on AWS.
Required Skills and Qualifications
- Professional Experience: 5+ years of experience in data engineering or a related field.
- Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.
- AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:
- AWS Glue for ETL/ELT.
- S3 for storage.
- Redshift or Athena for data warehousing and querying.
- Lambda for serverless compute.
- Kinesis or SNS/SQS for data streaming.
- IAM Roles for security.
- Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
- Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
- DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
- Version Control: Proficient with Git-based workflows.
- Problem Solving: Excellent analytical and debugging skills.
Optional Skills
- Knowledge of data modeling and data warehouse design principles.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- Exposure to other programming languages like Scala or Java.
Main tasks
- Implementation, operating and monitoring of LS system solutions on-premise and in the cloud
- Analysis and sustainable troubleshooting of system failures
- Support in the area of information and IT security
- Maintenance and further development of IT infrastructure in the field of container infrastructure and orchestration as well as on-premise hardware
- Creating system installation documentation
Qualification profile
- Successfully completed training or studies in the field of IT
- Experience in operating on-premise, public, and private cloud solutions
- Young professionals are welcome
- Good English skills
- Knowledge in the following areas
- Citrix Virtual Apps and Desktops
- Citrix ADC VPX
- Virtualization (VMware)
Our client is a well capitalized digital startup pioneering full funnel marketing via programmatic media trusted by leading marketers and agencies in India and is expanding its footprint globally.
Head of Growth for India:
Our Client is seeking a prolific business development leader to run the growth function across India, our primary market currently. Incumbent will have full ownership to drive customer acquisition through marketing, direct sales, inside sales and alliances to meet tactical and strategic revenue goals for the business. This is an opportunity to combine your strategic thinking, resourcefulness, as well as growth hacking, solutioning, storytelling and networking skills to drive significant business impact. If you enjoy being the tip of the spear in acquiring customers, then this is the role for you.
Responsibilities:
● New customer acquisition - both marketers and agencies.
● Develop and execute sales and marketing strategies to achieve revenue goals and gross margins.
● Run the complete sales cycle from lead generation to deal closure and customer onboarding.
● Grow company's business in India via direct sales as well as inside sales, partnerships and marketing.
Requirements
Competencies & Prerequisites:
● 8+ years of relevant experience running the complete sales cycle in selling adtech/martech solutions to senior leaders and CXOs in the brand and agency world.
● Deeply networked in the Indian digital media ecosystem at senior management level, with quality relationships that translates into driving early traction.
● Strong pulse of the market, its evolution and competitive landscape.
● Seasoned storyteller with ability to identify the right target segments, pain points and unmet needs of target customers, and accordingly improvise the pitch and the solution, while optimizing for short term vs. long term goals – internal and external.
What you get: Opportunity to build a global company. Amazing learning experience. Transparent work culture. Meaningful equity in the business.
Worked on Containerized microservices solution., node/express, docker/Kubernetes
Additional Skill:-, Experience with API Gateways: authentication and transformations (preferably with Kong),
Having worked on Event Broker Governance, Platform Communication and Integration Strategies, Event Management between Enterprise Systems
Roles – Lead ( upto 6 years of experience) and Architect ( 7+ years of experience) profiles
• The candidate must create unique and compelling value propositions to large enterprise accounts, decision-makers clearly grasp the short and long-term business and financial value of a NxtGen relationship.
• The candidate can develop, own & execute business plans specific to Enterprise accounts assigned.
• The candidate must collaborate with various stakeholders within large enterprise Accounts to execute the business plan.
• The candidate must track/create a pipeline, close deals, and achieve revenue goals for the future.
• The candidate must enable partner stakeholders by educating them on NxtGen value proposition.
• The candidate can act as the ambassador for assigned enterprise Accounts.
• The candidate must focus on long term strategy while handling tactical business activities.
Base location- Bangalore / Mumbai / New Delhi
Role
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming languages.
- Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as needed.




