Full Stack Develoepr

Xoxoday is looking for an HR tech consultant who has deep expertise in Rewards & recognition, employee engagement, and employee surveys. A good candidate will possess a strong understanding of Employee Engagement strategy, and an appreciation for the business impact that well-structured programs centered around motivation, feedback, alignment, and collaboration can deliver to teams and businesses. You should bring hands-on experience in consulting in these subjects for at least 5 years for global organizations. 

This role requires you to help our clients to put best practices in employee engagement, rewards & recognition and employee surveys. The role ll also require you to build thought leadership in these subject through different content formats.  

• Develop relationships as a subject matter expert, consultant and business advisor for our customers for employee engagement, RnR & workplace culture.
• Develop and deliver compelling, highly narrative and engaging business case materials and presentations to senior HR and business audiences.
• Work directly with customers to help them make informed decisions, craft change management plans, and achieve their people strategy goals using our employee engagement product Empuls.
• Partner closely with the customer success, account management & product teams to ensure customers are receiving a seamless consulting experience. 
• Educate Customer Success, Sales, Marketing, and Product teams about best practices and well researched material in RnR, employee engagement & employee experience domain.
• Develop content (such as best practices guides, employee rewards & recognition playbooks, employee survey frameworks, people analytics etc) to educate customers and internal teams.

• Experience working in the employee engagement, Rewards & recognition, employee experience, workplace culture, employee benefits consulting domain.
• Ability to have strong opinions that are weakly held and flexible to change based on new learning and situations.
• Excellent communication and relationship building skills.
• Deep curiosity about various business models, and motivation to solve customer problems through the use of technology.
• Bachelor's degree required. MBA / MS preferred.
• Experience managing multiple projects simultaneously and autonomously in a fast-paced, high-growth environment
• 5+ years of HRTech or HR consulting experience

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

Xoxoday is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II, Xoxoday offers a suite of three products - Plum, Empuls, and Compass. Xoxoday works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Xoxoday is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

ABOUT US.

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

THE POSITION

Ashnik is looking for talented and passionate people to be part of the team for an upcoming project at client location.

QUALIFICATION AND EXPERIENCE

• Preferably have a working experience of 2 Years and more , on production PostgreSQL DBs.
• Experience of working in a production support environment
• Engineering or Equivalent degree
• Passion for open-source technologies is desired

ADDITIONAL SKILLS

• Install & Configure PostgreSQL, Enterprise DB
• Technical capabilities PostgreSQL 9.x, 10.x, 11.x
• Server tuning
• Troubleshooting of Database issues
• Linux Shell Scripting
• Install, Configure and maintain Fail Over mechanism
• Backup - Restoration, Point in time database recovery
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.

RESPONSIBILITIES

• Monitoring database performance
• Optimizing Queries and handle escalations
• Analyse and assess the impact and risk of low to medium risk changes on high profile production databases
• Implement security features
• DR implementation and switch over

LOCATION: Pune & Bangalore

Experience: 2 yrs plus

Package: upto 10 LPA

• Work with Angular2, NodeJS, Meteor, and MongoDB as the stack to develop newer functionalities for our platform
• Deploy application on AWS/ Google Cloud infrastructure
• Monitor the application regularly and fix bugs
• Work with team to create scalable and robust infrastructure from experts
• No. of positions available: 2
• Skill(s) required : JavaScript, Node.js and Angular 2.0 (ref:hirist.com)

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

• Bachelor's degree in computer science, information science, or similar.
• At least two years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.

At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.

Candidates will be expected to lead projects across several areas such as

• Demand forecasting
• Inventory management
• Simulation & Mathematical optimization models.
• Procurement analytics
• Distribution/Logistics planning
• Network planning and optimization

Qualification and Experience

• 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
• Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
• Hands-on experience in delivery of projects using statistical modelling

Skills / Knowledge

• Hands on experience in statistical modelling software such as R/ Python and SQL.
• Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
• Highly proficient with Excel, PowerPoint and Word applications.
• APICS-CSCP or PMP certification will be added advantage
• Strong knowledge of supply chain management
• Working knowledge on the linear/nonlinear optimization
• Ability to structure problems through a data driven decision-making process.
• Excellent project management skills, including time and risk management and project structuring.
• Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
• Ability to liaison effectively with multiple stakeholders and functional disciplines.
• Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.