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•Sound knowledge of EDI standards like ANSI X12, EDIFACT, TRADACOM, XML, Rosetta Net etc.
•Good understanding of XSLT, XSD and XML parsing processes.
•Having WebMethods knowledge in EDI domain will be huge plus.
•Good Knowledge of scripting languages like JavaScript, Perl etc.
•Good knowledge of file sharing protocols like AS2, AS3, FTP/SFTP, HTTP/HTTPS etc.
•Experience in EDI Mapping to/from following platforms/technologies (not limited to)
oSAP (IDOC)
oMainframe.
oCSV/XML/JSON/Flat File e.Word/Excel/PDF
•Good working knowledge SQL and relation databases (Oracle/MySQL etc.).
CTC: up to 20 LPA
Required Skills:
- Strong experience in SAP EWM Technical Development.
- Proficiency in ABAP (Reports, Interfaces, Enhancements, Forms, BAPIs, BADIs).
- Hands-on experience with RF developments, PPF framework, and queue monitoring.
- Understanding of EWM master data, inbound/outbound processes, and warehouse tasks.
- Experience with SAP integration technologies (IDoc, ALE, Web Services).
- Good analytical, problem-solving, and communication skills.
Nice to Have:
- Exposure to S/4HANA EWM.
- Knowledge of Functional EWM processes.
- Experience in Agile / DevOps environments.
If interested kindly share your updated resume on 82008 31681
We are looking for a motivated data analyst with sound experience in handling web/ digital analytics, to join us as part of the Kapiva D2C Business Team. This team is primarily responsible for driving sales and customer engagement on our website. This channel has grown 5x in revenue over the last 12 months and is poised to grow another 5x over the next six. It represents a high-growth, important part of our overall e-commerce growth strategy.
The mandate here is to run an end-to-end sustainable e-commerce business, boost sales through marketing campaigns, and build a cutting edge product (website) that optimizes the customer’s journey as well as increases customer lifetime value.
The Data Analyst will support the business heads by providing data-backed insights in order to drive customer growth, retention and engagement. They will be required to set-up and manage reports, test various hypotheses and coordinate with various stakeholders on a day-to-day basis.
Job Responsibilities:
Strategy and planning:
● Work with the D2C functional leads and support analytics planning on a quarterly/ annual basis
● Identify reports and analytics needed to be conducted on a daily/ weekly/ monthly frequency
● Drive planning for hypothesis-led testing of key metrics across the customer funnel
Analytics:
● Interpret data, analyze results using statistical techniques and provide ongoing reports
● Analyze large amounts of information to discover trends and patterns
● Work with business teams to prioritize business and information needs
● Collaborate with engineering and product development teams to setup data infrastructure as needed
Reporting and communication:
● Prepare reports / presentations to present actionable insights that can drive business objectives
● Setup live dashboards reporting key cross-functional metrics
● Coordinate with various stakeholders to collect useful and required data
● Present findings to business stakeholders to drive action across the organization
● Propose solutions and strategies to business challenges
Requirements sought:
Must haves:
● Bachelor’s/ Masters in Mathematics, Economics, Computer Science, Information Management, Statistics or related field
● High proficiency in MS Excel and SQL
● Knowledge of one or more programming languages like Python/ R. Adept at queries, report writing and presenting findings
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - working knowledge of statistics and statistical methods
● Ability to work in a highly dynamic environment across cross-functional teams; good at
coordinating with different departments and managing timelines
● Exceptional English written/verbal communication
● A penchant for understanding consumer traits and behavior and a keen eye to detail
Good to have:
● Hands-on experience with one or more web analytics tools like Google Analytics, Mixpanel, Kissmetrics, Heap, Adobe Analytics, etc.
● Experience in using business intelligence tools like Metabase, Tableau, Power BI is a plus
● Experience in developing predictive models and machine learning algorithms
Skills: Python,robot Framework,Automation Testing,Selenium
Requirement:
- B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
- Hands-on experience with test automation using Python or Java.
- Experience with test frameworks such as Robot Framework or TestNG.
- Traffic generation tools usage such as curl-loader or JMeter.
- QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
- Knowledge of public clouds, AWS, Azure or GCP, is desired.
- Working knowledge in Kubernetes, Docker or Openshift environments required.
- Hands on experience with Linux.
- Strong problem solving and debugging abilities.
- Familiarity with continuous integration tools such as Jenkins or CircleCI.
- Interest in machine learning (ML) and data science is a plus.
Manage support operations and lead the support engineering team.
Minimum Qualification: Bachelor's degree in Computer Science, Information Technology, or any related field. Strong technical skills and leadership experience are required.
Experience: 4+ years of experience in Software Engineering or technical support roles.
How to Apply:
- Login to tacoi.paromint.com.
- Navigate to your Profile.
- Copy your wallet public address from the app.
- Send an email.
- Include your wallet public address in the email.
- Mention the job code SM004 in the email.
- Attach your resume to the email.
Note: Candidates will be selected for interview based on their hedging ability, especially in options and commodity derivatives on tacoi.paromint.com.
Job Responsibilities:-
- Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
- Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
- Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
- Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
- Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
- Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
- Experience working with big data systems and big data concepts.
- Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
- Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
- Experience with noisy and/or unstructured textual data.
knowledge graph and NLP including summarization, topic modelling etc
- Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
- Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
- Strong understanding of text pre-processing and normalization techniques, such as tokenization,
- POS tagging and parsing and how they work at a low level.
- Excellent problem solving skills.
- Strong verbal and written communication skills
- Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
- Practical experience in using NLP related techniques and algorithms
- Experience in open source coding and communities desirable.
Able to containerize Models and associated modules and work in a Microservices environment
MERN stack Developer:
We are looking for a MERN Stack developer to join our team at the earliest. In this role, as a Senior Mern Stack Developer, you will be entrusted with developing JavaScript applications using Node.js, Express, React.js, and Mongo DB. Apply now for the role of a Mern Stack Developer at Pattem that’s opening doors for skilled, energetic developers looking for Mern Stack Developer Jobs in Bangalore. If you can help us design and create multiple layers of applications while working cross-functionally across different infrastructures. You would fit perfectly if you love problem-solving, design, and creating quality offerings.
Know Your Work:
- As a MERN Stack Developer, it’s your responsibility to translate storyboards and various use cases to create high-performing apps
- Write, execute, and maintain clean, reusable and scalable code
- Integrate our various data storage solutions
- Ensure the responsiveness and boost the performance of our apps
- Find and address the various bottlenecks and bug-fixes
- Help in code automatization
What You Need To Apply:
- Previous working experience as a MERN stack developer for 3+ years
- Strong experience with full-stack Javascript framework, Mongo DB, Express, React.JS, Node JS.
- Self-motivated with the ability to work independently or jointly in a self-directed way.
- Demonstrated successful development of enterprise-grade web applications
- Proven analytical and problem-solving capabilities
- Keen attention to detail
- Comfortable leading product development
- Strong work ethic and desire to build industry-leading products
- Proactive instead of reactive
- Looking for ways to improve self and projects
Verification:
- Design and development of Verification IPs and models for ADAS and AV customers.
- Understand the Customers’ verification pain points, translate them into technical terms, and propose new features for the product
- Work with the customers on adopting the product, training, helping them address issues
Deployment
- Deploy verification solution (composed of a product, language, and methodology) for customers
- Support installation, integrations, and assimilation of new versions, and/or SW packages at the Customers’ sites
- Develop Application Notes, Methodology documents as well as technical presentations





