life cycle activities like HR Benefits
administration, Rewards and
compensation administration,
Workforce administration, , case
management, helpdesk, etc.
System data entry experience
(Oracle HCM, Taleo,
SuccessFactors, etc.)
Experience of maintaining data in
excel, Pivot, V Look up
Good working knowledge of MS
Office
Handle complex problems raised by
client and provide solution
Handle the client communication
and client Reporting
Excellent job organization and time
management skills
Attention to details and very good
analytical skills;
Good communication skills
Interaction with Client daily via
phone, chat and email, work on
resolving HR related issues,
cooperate with other delivery team
members
Similar jobs
- Excellent verbal and written communication skills in English
- Strong customer service orientation
- Basic computer knowledge and typing skills
- Flexibility to work in shifts, including weekends and holidays
- Handle inbound/outbound customer calls regarding product/service inquiries and issues
- Ability to empathize with customers and provide appropriate solutions
- Good problem-solving skills
- Ability to work in a fast-paced and target-driven environment
Skills Required
- 5+ years of strong programming experience on the .NET platform(C#.NET)
- Proficient with Web application development – we leverage ASP.NET MVC/Asp.net core / Web API / Typescript / Angular (open to candidates experienced with Web development and zeal to learn)
- Experience building applications leveraging Azure (or AWS)
- Hands on experience on Html, CSS, JavaScript, and Bootstrap (or any other CSS framework)
- Experience with SQL Server (Stored Procedures & UDF) and NoSQL (Cosmos DB or others)
- Good grip on Fundamentals of CS, OOPS Concepts, SOLID Principles, Design Patterns and its usages
- Ability to prepare both high level and low-level design of the system
- Familiarity with TDD, CI/CD, GIT, DevOps
- Experience with microservices architecture
- Hands-on exposure to cloud technologies like( azure/ AWS)
Expectations
- Provide technical leadership and functional help working closely with team members
- Design, implement and maintain application within all phases of the software development life cycle (SDLC) on Microsoft Azure (or AWS)
- Independently carry out the activities without much of guidance
- Create, understand, and validate design and estimates and be able to justify them
- Applies knowledge of principles and techniques to solve technical problems.
- Works closely with other functions to understand customer needs and to develop product roadmaps
- Strong troubleshooting and analytical skills and detail oriented
- Comprehensive understanding of OOPS concepts, data structures, algorithms and product development techniques and theories
- Should be able to design schema for enterprise level applications
- Should be able to apply design patterns
- Should be open to face new challenges and learn new technologies.
- Should be ready to create proof of concepts and explain the value created out of it.
- Responsible for Deliverables on time
- Experience with debugging, performance profiling and optimization
2. Kubernetes Engineer
DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.
At Least 4 Years of experience in DevOps with knowledge of:
- Docker
- Docker Cloud / Containerization
- DevOps Best Practices
- Distributed Applications
- Deployment Architecture
- Atleast AWS Experience
- Exposure to Kubernetes / Serverless Architecture
Skills:
- 3-7+ years of experience in DevOps Engineering
- Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
- Experience with Docker Swarm, Docker Compose, Docker Engine
- Experience with Provisioning and managing VM's - Virtual Machines
- Experience / strong knowledge with Network Topologies, Network Research,
- Jenkins, BitBucket, Jira
- Ansible or other Automation Configuration Management System tools
- Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
- Linux Systems Administration -: Redhat
Additional Preference:
Security, SSL configuration, Best Practices
What is WoCo and why should you join?
WoCo is a go-to HRTech solution for new age and fast-growing businesses, built by a team of innovators, technologists, product scientists, outliers, business leaders and people's people. WoCo is truly poised to lead the People, Payroll and Productivity space with some of the best minds in the industry.
Location
Onsite. Gurugram.
What will you do every day?
We are on the lookout for dynamic individuals in the Customer Success Team who can work closely with clients helping them achieve their Digital Transformation goals.
What do you need to ace your role?
- Business Advisor to our clients working towards achieving their digital transformation goals and success metrics. Ability to manage client relationships and expectations
- Act as a techno-functional consultant and provide recommendations on process
- Goal-oriented and data-driven to actively track performance and drive metrics like CSAT, NPS, Adoption and Usage for clients. Analyze customer data to improve the end-user experience
- Experience with metrics like Net Revenue Retention (Upselling), Churn, Customer References & reviews. Work closely with product, sales and other cross-functional teams, (internal and external) with ease to drive these goals
- Devise engagement plans that consider customer business goals and map product capabilities to achieve these goals
- Support clients during critical HR events like Appraisal, Increments etc.
- Support clients to resolve queries or bugs, as and when required
- Gather feedback on product experience during the entire customer lifecycle via targeted surveys
- Identify prime targets for up-sell/cross-sell and engage Sales team to execute on those opportunities
- Share best practices with clients on how to achieve product success with WoCo
- Identify risks proactively, mitigate and escalate as deemed appropriate
- Passionate about Customer Experience and ability to be the customer's voice in guiding the Product Roadmap
- Excellent communication and presentation skills.
- Excellent relationship-building skills
- Be a cultural champion and energy driver
Requirements
- 2-4 years of experience in Customer Success in SaaS
- Exceptional communication and presentation skills, coupled with excellent listening skills
- Analytical and data-driven with ability to work with multiple stakeholders
- Demonstration of good product and consumer thinking during his/her career
- Hands-on and a quick learner. Comfortable with learning new technology
- Basic tech skills especially knowledge of python, Power BI will be a plus
- This role provides you access to PII for which you will abide to follow secure data handling practices to safeguard and protect such data.
- We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.
- Gather and evaluate user requirements in collaboration with product managers and engineers
- Illustrate design ideas using storyboards, process flows and sitemaps
- Design graphic user interface elements, like menus, tabs and widgets
- Build page navigation buttons and search fields
- Develop UI mockups and prototypes that clearly illustrate how sites function and look like
- Create original graphic designs (e.g. images, sketches and tables)
- Prepare and present rough drafts to internal teams and key stakeholders
- Identify and troubleshoot UX problems (e.g. responsiveness)
- Conduct layout adjustments based on user feedback
- Adhere to style standards on fonts, colors and images
Position: Front desk officer
Salary: 15k to 25k
Location Gulbai tekra Ahmedabad
Job time : 10 to 7 days working
Only female candidate
Only Ahmedabad based candidate
Desired Profile
Feasibility assessments – Outline Risks , Design , Effort / Cost Estimate.
Analyse, design, document, and agree - Solutions to meet requirements / timelines.
Produce refined estimates of effort, time, resource, and costs for work requests.
Work effectively with Product Managers and Product Owners to ensure delivery against agreed priorities.
Develop code, perform peer code reviews, and complete integration tests.
Ensure delivery of high quality, fit-for-purpose solutions – Follow software development & architectural principals.
Ensure all solutions maintain the integrity of data throughout capture, processing, and storage.
Engage with the various testing teams, facilitating systems Test, UAT & other test phases.
Ensure all software changes are prepared for deployment into PRODUCTION, following CPP’s change control processes.
Provide regular development progress reports to key stakeholders as necessary.
Maintain effective documentation and share expertise with colleagues to eliminate single points of expertise within the team.
Research the external environment, and where appropriate identify and recommend external partners for the delivery of best in class technologies suitable for CPP applications.
Understanding the use cases (and/or user stories) in order to oversee the design of the architecture for the products to be built.
Skills:
Significant “hands on” software development/support experience gained in a commercial environment with React & Node.
Demonstrable knowledge of Postgres database technology.
Proven experience of using automated test tools/frameworks (e.g. Spock, Selenium, JEB) and Continuous Integration tools (e.g. Hudson, Jenkins).
Experience in a range of software development methodologies (e.g. Agile/SCRUM, Waterfall, DevOps) and secure coding standards (e.g. OWASP).
Knowledge of payment processing regulations (PCI-DSS) and security standards (ISO 27001).
Knowledge of other software development tools (e.g. Stash, Jira, Git).
Degree in a relevant IT discipline, or equivalent experience gained in a relevant industry
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Author data services using a variety of programming languages
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- 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.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centres and Azure regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Work in an Agile environment with Scrum teams.
- Ensure data quality and help in achieving data governance.
Basic Qualifications
- 2+ years of experience in a Data Engineer role
- Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases
- Experience with data pipeline and workflow management tools
- Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Experience supporting and working with cross-functional teams in a dynamic environment