Customer service associate

We are seeking a highly skilled and hands-on Data Lake Implementation Specialist with expertise in building data lake solutions on Oracle Autonomous Database. The ideal candidate will have deep technical knowledge of Oracle Cloud Infrastructure (OCI) Data Integration, Oracle Data Integrator (ODI), Oracle Data Transform, ETL job scheduling, and API integrations.

Open for Contract/ Fulltime/ Part time.

Required Skills & Qualifications

• Proven experience in building and implementing data lakes on Oracle Autonomous Database.

• Strong expertise in Oracle Cloud Infrastructure (OCI) Data Integration and Oracle Data Transform & ODI

• Hands-on experience with ETL development, job scheduling, and process orchestration.

• Strong knowledge of database design, optimization, and performance tuning in Oracle Autonomous DB.

• Experience with Object Storage (Oracle or equivalent cloud storage).

• Solid understanding of API-based data integration and automation.

• Proficiency in SQL, PL/SQL, and scripting languages (Python/Shell preferred).

• Strong troubleshooting skills and ability to optimize large-scale data workflows.

• Excellent communication and collaboration skills to work with cross-functional teams.

Preferred Qualifications

• Oracle Certified Professional (OCP) or OCI certifications in Autonomous Database / Data Integration.

• Experience with real-time data streaming tools (e.g., Kafka, GoldenGate, or equivalent).

• Familiarity with data governance and security best practices in Oracle Cloud.

• Experience in data analytics and reporting integration with Autonomous DB

·      A thoroughly experienced OMS resource with preference to Blue Yonder OMS and good exposure in building custom microservices as extension points to OMS possessing good cloud knowledge.

·      Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS)

·      Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc.

·      Recommend someone having a good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc.

·      Any additional knowledge on OMS and Store domains will be additional advantage.

·      Experience in Service Oriented Architecture - Developing/securely exposing/consuming Web Services – RESTful and integrating headless applications.

·      Should be able to understand system end-end, maintain application and troubleshoot issues.

·      Good understanding of Data Structures and Entity models.

·      Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS.

·      Expertise in integrating synchronously and asynchronously with third party web services.

·      Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS.

·      CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc.

·      Knowledge on any major eCommerce / OMS platforms will have added advantage.

·      Must have a working knowledge of Production Application Support.

·      Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket.

·      Good knowledge of observability tools like NewRelic , DataDog, Graphana, Splunk etc. with knowledge on configuring new reports, proactive alert settings, monitoring KPIs etc.

·      Should have a fairly good understanding of L3 support processes, roles and responsibilities.

·      Should work closely with counterparts in L1/L2 teams to monitor, analyze and expedite issue resolutions, reduce stereoptypes, automate SoPs or find avenues for the same by being proactive.

Should be flexible to work with overlap with some part of onsite (PST) hours as part of various client meetings and hand offs with Alo client leadership team

As a Kafka Administrator at Cargill you will work across the full set of data platform technologies spanning on-prem and SAS solutions empowering highly performant modern data centric solutions. Your work will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team who shares your passion for building, configuring, and supporting platforms while sharing, learning and growing together.  

• Develop and recommend improvements to standard and moderately complex application support processes and procedures. 
• Review, analyze and prioritize incoming incident tickets and user requests. 
• Perform programming, configuration, testing and deployment of fixes or updates for application version releases. 
• Implement security processes to protect data integrity and ensure regulatory compliance. 
• Keep an open channel of communication with users and respond to standard and moderately complex application support requests and needs. 

MINIMUM QUALIFICATIONS

• 2-4 year of minimum experience
• Knowledge of Kafka cluster management, alerting/monitoring, and performance tuning
• Full ecosystem Kafka administration (kafka, zookeeper, kafka-rest, connect)
• Experience implementing Kerberos security
• Preferred:
• Experience in Linux system administration
• Authentication plugin experience such as basic, SSL, and Kerberos
• Production incident support including root cause analysis
• AWS EC2
• Terraform

Job Brief:

We are looking for an US HR Specialist to join our team and monitor all Human Resources functions. HR Specialist responsibilities include preparing compensation and benefits packages, setting up company policies and maintaining updated employee records. To be successful in this role, you should have a good understanding of full cycle recruiting and solid knowledge of Human Resources. Ultimately, you will foster a healthy workplace by ensuring our HR procedures run smoothly at all times.

Responsibilities:

• Administer health and life insurance programs

• Implement training and development plans

• Plan quarterly and annual performance review sessions

• Inform employees about additional benefits they’re eligible for (e.g extra vacation days)

• Update employee records with new hire information and/or changes in employment status

• Maintain organizational charts and detailed job descriptions along with salary records

• Forecast hiring needs and ensure recruitment process runs smoothly

• Develop and implement HR policies throughout the organization

• Monitor budgets by department

• Process employees’ queries and respond in a timely manner

• Stay up-to-date and comply with changes in labor legislation

Requirements and Skills:

• Proven work experience as an HR Specialist or HR Generalist

• Good knowledge about Human Resources

• Knowledge of Applicant Tracking Systems

• Solid understanding of labor legislation and payroll process

• Familiarity with full cycle recruiting

• Excellent verbal and written communication skills

• Good problem-solving abilities

• Team management skills

• Bachelors or Masters in Human Resources or relevant field

Knowledge of different types of visas available for individuals seeking to enter the United States, including the purpose for which each visa is intended. 

Exp: 0-1 year

Location: Hyderabad (Begumpet)

Shift: 06:30PM to 03:30AM

Mon-Fri (Onsite)

We’re looking for an experienced SEO Specialist to fuel growth at Quoality- Hospitality Guest Experince Platform helping businesses improve the guest experience and generate additional revenue.

Founded in 2021, Quoality is a Hospitality Tech company backed by a US-based Newchip Accelerator. Our mission is to equip businesses with the tools they need to grow. 

By providing tools, insights, and education with minimal effort on the business's part, the barrier to making actionable business decisions is lowered dramatically. Everything we do is driven by this mission. Everything we do needs to positively answer the question, "Does this help businesses grow?"

Product Demo: https://www.youtube.com/watch?v=gKklkRYKkC4&;t" target="_blank">https://www.youtube.com/watch?v=gKklkRYKkC4

Quoality Blogosphere: https://medium.com/quoality" target="_blank">https://medium.com/quoality

🙋‍ The role & what we are looking for: Oh, this is our favorite part. We’ve seen companies that write 'templatized' BS for this section; stuff that’s never followed in reality.

Not us. Here are some of our core values to give you a sense of who we are as a team:

• First and foremost, we’re super transparent. We all know what everyone’s working on, how’s the company doing, and the whole shebang.
• We’re all super chill.
• Work time ain’t playtime. We take our work very seriously. We’re a small bunch on a mission to change the guest experience in the hospitality industry, once and for all.
• Deadlines are a thing for us. We are very punctual.
• We know what we are working on and aren’t clueless.
• We’re more friends than colleagues.
• Monthly 1:1s with the founders where you can directly share & receive feedback.

Not convinced yet? Okay, here’s the fun stuff:

• Flexible leave policy. Yeah, it’s truly flexible. We trust you.
• We’re fully remote in India. Work from the beautiful beaches of Goa or the stunning mountains of Manali, we’re all good.
• Annual workstations at exotic destinations. Subject to change and hitting milestones.
• Allowances to choose your coworking space (if you want), courses & anything that you think is beneficial to succeed in this role.

📄 The role & what we are looking for:

💻 Responsibilities:

• Execute tests, collect and analyze data and results, and identify trends and insights in order to achieve maximum ROI in paid search campaigns
• Track, report, and analyze website analytics and PPC initiatives and campaigns
• Optimize copy and landing pages for search engine marketing
• Perform ongoing keyword discovery, expansion and optimization
• Research and implement search engine optimization recommendations
• Research and analyze competitor advertising links
• Develop and implement link building strategy
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code
• Work with editorial and marketing teams to drive SEO in content creation and content programming
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.

✅ Must Haves:

• 1.5 years+ of sales experience/strong drive to make a career in SEO
• Proven SEO experience
• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
• Solid understanding of performance marketing, conversion, and online customer acquisition
• In-depth experience with website analytics tools (e.g, Google Analytics)
• Experience with A/B and multivariate experiments
• Knowledge of ranking factors and search engine algorithms
• Up-to-date with the latest trends and best practices in SEO 
• Experience with other aspects of marketing, such as customer growth and promotion, is a plus
• Self-motivated and driven
• You are open to learning new stuff and avoid internal politics.(super important).
• You are humble, kind, and are open to feedback.(super duper important).

❕Bonus:

• Entrepreneurial spirit, Product Thinker, and ‘Can-Do' attitude.
• Passionate about leveraging technology for supporting product delivery in the Hospitality space.
• Operating style suited to working in a startup environment, where teamwork and resourcefulness are highly valued.
• Excellent leadership skills, including the ability to manage multiple assignments at a time.

🤙 What's the interview process like? 

Yes, we do have a process, and it’s simple.

Step 1: You apply for the job.
Step 2: Quick intro call with one of the founders.
Step 3: A round where we evaluate your assignment along with you.
Step 4: One round of interviews to gauge if you are a good culture fit. Step
5: Job Offer (contingent on the above steps).
Step 6: Welcome to the Quoality! 🙂

So, think we’re a good fit? Then let’s roll.🤘

What you need to have:

We are seeking a Full Stack developer in Bangalore, India to join our development team. These roles represent a great opportunity for the right candidate.

Requirements:

• B. E/B. Tech/ M. Tech from a top-tier college.
• 3 to 5 years of experience in a product development environment.
• Good understanding of one or more topics such as React, Redux, JWT, and REST APIs.
• Experieence with Node and NPM (and the Node ecosystem in general).
• Comfortable working with Git/SVN and a good understanding of version control.
• Knowledge of SaaS/Microservices-based environments.
• Ability to understand business requirements/ workflows and come up with technical designs and implementations.
• Good communication skills (written as well as verbal/spoken).
• Understanding cloud environments would be a plus.

Company Overview: We are a fast-growing vertical SaaS company in Chennai. Our product - GrowSmart - is used by leading project contracting companies across India. Our team values the following: respect for every individual, excellent learning opportunities, challenging work environment, larger responsibilities earlier in your career, commitment towards results, recognition for hard work. Website: https://growsmartsmb.com 

Job Overview: You will be part of the core product engineering team. It’s a small, highly productive team building a large and complex product. Our web app is built with React and Redux. The mobile apps are built with React-Native. The backend is built with NodeJs and PostgreSQL. So, javascript is the language we speak 😉. If you are fluent in javascript, you will be a great fit! This position is primarily for the front-end, but we encourage full-stack developers.

You will be a team player working collaboratively with product leaders, UI designers, and the testing team. Requirement Analysis, Design, Development, Unit Testing, and Integration Testing are the major activities you will take up. You will own a feature from UI design to go live.

Skills Expected:

1. Sound understanding of HTML/ DOM / Javascript / CSS.
2. Strong practical expertise in React and Redux.
3. Good understanding of usability, error handling, performance, and reusability concepts.
4. Ability to learn new concepts rapidly.
5. Ability to handle complexity - you will work on a large and complex app, often more than one task at a time.
6. Being self-driven - you enjoy taking ownership; you don’t need constant follow-up from a manager.

Job Highlights: Great opportunity to work on the full-stack in a large and complex product, with a small core team. Modern workplace at the heart of the city – Ashok Nagar. Young and flat team – you get full freedom to learn and grow. Excellent growth opportunity – can take up bigger responsibilities earlier in your career. Medical insurance for self. Due recognition and appreciation for hard work.

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.