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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

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Skill:  Java Developer – Mumbai

Job Description: 

 4.5 -8 years of Experience 

• Java 8
• Spring boot
• API development
• MVC architecture
• web services
• OOPS

• Work across all phases of application development including requirement gathering, coding, release, bug fixing, documentation.
• Lead and mentor a team of developers guiding them in their day to day activities.
• Collaborate with other engineering teams to develop and deliver new features and enhance existing ones.
• Rapid prototyping (POCs) based on requirements.
• Test, debug and fix any functional or non-functional issues.
• Work with the architects to ensure feasibility of the design while ensuring all quality attributes are met.
• Participate in deployment and release activities.

• 5+years of relevant experience.
• Experience in leading a team.
• Expertise in Python, Django DRF, REST APIs
• Experience with Document DB, RDBMS and ORM.
• Demonstrated ability to write clean and testable code.
• Knowledge of MongoDB, PostgreSQL, Redis, ElasticSearch is preferred.
• Exposure to AWS will be an added advantage.
• Familiarity with front-end technologies (ReactJS, Javascript etc) will be a plus.
• Strong team player who can work efficiently in a highly collaborative effort.
•  Self-motivated and able to work independently as well as within a team.

About Rolling Arrays

Rolling Arrays provides HR Software and HR System Implementation Services (SAP SuccessFactors, Qualtrics, Reimburse, CICO, eFile, eAuthoring) to Clients in Singapore, Malaysia, Australia, UAE, Hong Kong. Rolling Arrays (RA) was featured as Singapore’s Top 75 fastest growing companies by the leading newspaper of Singapore - The Straits Times in 2021 where RA was ranked 48. Rolling Arrays has 2 lines of businesses: 

HR System Implementation Services: 

Rolling Arrays is regarded as number ONE mid-size firm in the South East Asian Market with a strong track record of 12 Years and more than 200 enterprise level HR Technology Implementation projects till date. The services include – 

• SAP SuccessFactors Design Consulting
• SAP SuccessFactors Implementation
• SAP SuccessFactors Change Management
• SAP SuccessFactors Support Services (AMS)

HR Software Products in Rolling Arrays’ portfolio (partner’s products and own products): 

• SAP SuccessFactors (World’s leading End to End Cloud HR Software solution)
• Qualtrics (World’s leading Experience Management Software)
• Reimburse (AI Enabled Travel & Expense Management Software for Enterprises)
• CICO (Intelligent Time Capture Machine, a software alternative to Physical Biometric Devices)
• eFile (Digitize and contextualize all employee documents in one place)
• eAuthoring (Author and publish your own learning content to capture tacit knowledge in the organization)

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

• Analyze highly complex business requirements;
• generate technical specifications to design or redesign complex software components and applications;
• Acts as an expert technical resource for modeling, simulation and analysis efforts;
• Adapt to change quickly and adjust work accordingly in a positive manner;
• Be flexible and thrive in an evolving environment;
• Individual contributor to build the application for e-commerce platform;
• Assures quality, security and compliance requirements are met for supported areas;
• Working in cloud data stores to include S3, DynamoDB and/or Amazon RDS;
• Perform test automation in a test-driven development environment;
• Implement DevOps concepts, tools and continuous delivery pipelines - Bamboo, Jenkins, Maven, Bitbucket, Jira, etc;
• Implement instrumentation to gather business-specific metrics around consumer usage patterns;

We have an Urgent Requirement for HR Assistant Role @Andheri (West)

- Hiring candidates by using different job portals (Naukri, Monster, Apna App, Indeed, etc.)

- Assist with day to day operations of the HR functions and duties.

- Process documentation and prepare reports relating to personnel activities (staffing, recruitment, training, grievances, performance evaluations etc)

- must have excellent communication skills.

Interested candidates can send thier updated CV.

1. Develop and manage digital marketing campaigns
2. Oversee the social media strategy of the brand and work with an agency
3. Periodically run website audits for the company’s websites and pass on feedback to the tech team
4. Oversee and optimize content for the website and social networking accounts such as Facebook, Quora, Youtube, etc.
5. Track and analyze website traffic flow and provide regular internal reports
6. Attain key performance indicators such as reducing the website bounce rate, increasing dwell time or improving conversion
7. Continually work on the Search Engine Optimization of the website(s)
8. Fix any errors or bugs in online content
9. Edit and post videos, podcasts and audio content to online sites
10. Create online banner adverts and oversee pay per click (PPC) ad management
11. Write copy for email marketing campaigns
12. Identify new trends in digital marketing, evaluate new technologies and ensure the brand is at the forefront of industry developments, particularly developments in mobile marketing
13. Attend networking events

Education Qualifications:

Minimum Graduate, PG & MBA preferred   

Experience & Skills:

• Minimum of 1-2 years work experience
• E-commerce experience preferred
• Consumer good experience preferred
• Proficiency in MS office and online tools for digital marketing