ERP Fusion Technical Developer
1. At least 3+ years of experience in Oracle ERP/Fusion SaaS/PaaS project implementations as a technical developer
2. Completed at least 1 ERP or Oracle Cloud (Fusion) project implementations
3. Extensive Knowledge on underlying database structure for ERP/Oracle Cloud (Fusion)
4. Extensively worked on BI Publisher reports, FBDI/OTBI and Oracle Integration Cloud (OIC)
5. Have strong technical knowledge on Oracle Database SQL and PLSQL
6. VBCS development experience is an added advantage
Shubham Vishwakarma
Full Stack Developer - Averlon
About CaratLane Trading Private Limited
About
We are makers, crafters, designers, storytellers and creators – inspired by idea of transforming jewellery buying and wearing experience in India. Our teams research, brainstorm, design, blueprint, craft, build, test, showcase, communicate and sell. And at the heart of everything we do is our unrelenting drive to make beautiful jewellery - accessible, affordable and forever wearable. It fuels our innovation and our creativity. It’s the reason we love rolling up our sleeves and getting down to work – and it’s the reason why we’ve been successful at what we do.
Our roots are digital; our passion is contagious and most importantly, our people are the most creative, inspiring, dedicated people you'll ever meet
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Role Overview:
The SEO Analyst is responsible for optimizing the organization’s online presence by improving search engine rankings, driving organic traffic, and enhancing user engagement. This role requires expertise in SEO strategies, analytics, and a strong understanding of mental health-related content to ensure alignment with the organization’s mission.
Key Responsibilities:
- SEO Strategy Development and Execution:
- Develop and implement effective SEO strategies to improve website rankings and increase organic traffic.
- Conduct keyword research to identify high-value terms relevant to mental health services and integrate them into the content strategy.
- Content Optimization:
- Collaborate with content teams to optimize on-page elements, including meta tags, headers, and keywords.
- Ensure that content adheres to SEO best practices while maintaining accuracy and sensitivity in mental health-related topics.
- Performance Monitoring and Reporting:
- Monitor website performance using tools such as Google Analytics, Google Search Console, and other SEO software.
- Analyze data to evaluate the effectiveness of SEO efforts and provide regular reports to the marketing team.
- Technical SEO Management:
- Conduct technical audits to identify and resolve issues affecting website performance, such as page speed, mobile usability, and broken links.
- Ensure the website is optimized for search engine crawlers and adheres to the latest algorithm updates.
- Competitor and Market Analysis:
- Conduct competitive analysis to identify trends, opportunities, and gaps in the market.
- Research emerging SEO techniques and tools to maintain a competitive edge in the mental health sector.
- Local SEO:
- Develop and manage local SEO strategies to enhance visibility in specific geographic areas.
- Optimize Google My Business profiles and manage location-based search strategies.
- Collaboration and Training:
- Work closely with content creators, developers, and social media teams to align SEO initiatives with broader marketing goals.
- Provide training and guidance to team members on SEO best practices.
Qualifications and Requirements:
Education:
- Bachelor’s degree in Marketing, Computer Science, or a related field.
Experience:
- 2–5 years of experience as an SEO Analyst or in a similar role.
- Proven experience in optimizing content for the mental health or healthcare sector is mandatory.
Skills and Knowledge:
- Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, and Ahrefs.
- Strong understanding of technical SEO, keyword research, and link-building strategies.
- Familiarity with content management systems (e.g., WordPress).
- Knowledge of HTML, CSS, and basic coding practices is a plus.
- Excellent analytical and problem-solving skills.
Personal Attributes:
- Strong attention to detail with the ability to manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Sensitivity and awareness when working with mental health-related content.
Key Competencies:
- Expertise in SEO strategies and best practices.
- Data-driven decision-making and performance analysis.
- Ability to adapt strategies to the unique needs of mental health-related audiences.
- Strong alignment with the organization’s mission to promote mental health awareness.
Job Overview
We are looking for a Data Engineer to join our data team to solve data-driven critical
business problems. The hire will be responsible for expanding and optimizing the existing
end-to-end architecture including the data pipeline architecture. The Data Engineer will
collaborate with software developers, database architects, data analysts, data scientists and platform team on data initiatives and will ensure optimal data delivery architecture is
consistent throughout ongoing projects. The right candidate should have hands on in
developing a hybrid set of data-pipelines depending on the business requirements.
Responsibilities
- Develop, construct, test and maintain existing and new data-driven architectures.
- Align architecture with business requirements and provide solutions which fits best
- to solve the business problems.
- Build the infrastructure required for optimal extraction, transformation, and loading
- of data from a wide variety of data sources using SQL and Azure ‘big data’
- technologies.
- Data acquisition from multiple sources across the organization.
- Use programming language and tools efficiently to collate the data.
- Identify ways to improve data reliability, efficiency and quality
- Use data to discover tasks that can be automated.
- Deliver updates to stakeholders based on analytics.
- Set up practices on data reporting and continuous monitoring
Required Technical Skills
- Graduate in Computer Science or in similar quantitative area
- 1+ years of relevant work experience as a Data Engineer or in a similar role.
- Advanced SQL knowledge, Data-Modelling and experience working with relational
- databases, query authoring (SQL) as well as working familiarity with a variety of
- databases.
- Experience in developing and optimizing ETL pipelines, big data pipelines, and datadriven
- architectures.
- Must have strong big-data core knowledge & experience in programming using Spark - Python/Scala
- Experience with orchestrating tool like Airflow or similar
- Experience with Azure Data Factory is good to have
- Build processes supporting data transformation, data structures, metadata,
- dependency and workload management.
- Experience supporting and working with cross-functional teams in a dynamic
- environment.
- Good understanding of Git workflow, Test-case driven development and using CICD
- is good to have
- Good to have some understanding of Delta tables It would be advantage if the candidate also have below mentioned experience using
- the following software/tools:
- Experience with big data tools: Hadoop, Spark, Hive, etc.
- Experience with relational SQL and NoSQL databases
- Experience with cloud data services
- Experience with object-oriented/object function scripting languages: Python, Scala, etc.
We are looking for a smart recruiter to join our growing firm in India. The candidate must have recruiting experience in Financial Services.
Machine Learning (ML)
PythonWe are building a global content marketplace that brings companies and content
creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.
Our Team
We are a 25+ member company and is scaling up rapidly in both team size and our ambition.
If we were to define the kind of people and the culture we have, it would be -
a) Individuals with an Extreme Sense of Passion About Work
b) Individuals with Strong Customer and Creator Obsession
c) Individuals with Extraordinary Hustle, Perseverance & Ambition
We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring
a company that can outlast its builders and create a massive impact on the lives of our
employees, creators, and customers alike.
Our Investors
We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners
Job Responsibilities:
● Design, develop, test, deploy, maintain and improve ML models
● Implement novel learning algorithms and recommendation engines
● Apply Data Science concepts to solve routine problems of target users
● Translates business analysis needs into well-defined machine learning problems, and
selecting appropriate models and algorithms
● Create an architecture, implement, maintain and monitor various data source pipelines
that can be used across various different types of data sources
● Monitor performance of the architecture and conduct optimization
● Produce clean, efficient code based on specifications
● Verify and deploy programs and systems
● Troubleshoot, debug and upgrade existing applications
● Guide junior engineers for productive contribution to the development
The ideal candidate must -
ML and NLP Engineer
● 4 or more years of experience in ML Engineering
● Proven experience in NLP
● Familiarity with language generative model - GPT3
● Ability to write robust code in Python
● Familiarity with ML frameworks and libraries
● Hands on experience with AWS services like Sagemaker and Personalize
● Exposure to state of the art techniques in ML and NLP
● Understanding of data structures, data modeling, and software architecture
● Outstanding analytical and problem-solving skills
● Team player, an ability to work cooperatively with the other engineers.
● Ability to make quick decisions in high-pressure environments with limited information.
Java
.NETAbility to communicate across levels with excellent verbal and written communication skills
To be able to work in teams and collaborate with others to clarify requirements
To be able to assist in documenting requirements as well as resolve conflicts or ambiguities
Data Science
R ProgrammingPythonAs a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.
➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ Enhancing data collection procedures to include information that is relevant for building analytic
systems
➢ Processing, cleansing, and verifying the integrity of data used for analysis
➢ Doing ad-hoc analysis and presenting results in a clear manner
➢ Creating automated anomaly detection systems and constant tracking of its performance
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.
What we are looking for:
➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.
React Native
Javascript
React.js
iOS App Development
NodeJS (Node.js)
MongoDB
Amazon Web Services (AWS)JavascriptPythonNodeJS (Node.js)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon