
About TandemNZ Pvt Ltd
About
Tandem NZ – Outsource to India provides you with a reputable company that is dedicated to bringing you the best outsourced resources available.
Our talented team will provide your business with the best skills for the best price. Enabling you to focus on making your business great without having to focus on managing staff.
We provide business services across the digital landscape that enables companies to extend their work day, scale as they need, access hard to find skill-sets and increase their profitability. At Tandem NZ we don’t outsource, our office is filled with our skilled team members who can provide you with the best outsourcing options led by an experienced team across multiple digital marketing, IT channels, Accounting and Customer Service channels.
Reduce your labour overheads, increase your productivity, access experienced skills and expertise and gain the benefits of paying for staff as and when you need them. Talk to us about your business and find out how we can help you.
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Exp - 2 to 4 Yrs
Location - Viman Nagar, Pune, (WFO)
Skills - Java+Spring Boot
Budget - 50 to 70K PM
Responsibilities:
- Troubleshoot and resolve complex technical issues related to Active Directory, Windows System Administration, Mac Support, Mobile Device Management, Windows Administration, Desktop Support, System Administration, Technical Support, Jamf, Intune, Azure Active Directory, and Confluence.
- Collaborate with other teams to ensure timely resolution of customer issues.
- Document solutions and knowledge articles for future reference.
- Participate in on-call rotation for after-hours support as needed.
What we are looking for :
- Bachelor's degree in Computer Science or related field preferred.
- Proficient in Active Directory, Windows System Administration, Mac Support, Mobile Device Management, Windows Administration, Desktop Support, System Administration, Technical Support, JAMF, Intune, Azure Active Directory, and Confluence.
- Familiarity with Microsoft Office Suite and other relevant software applications.
- Strong problem-solving skills and ability to work under pressure.
- Excellent communication skills both verbally and written.
You would be leading the Post-sales management and will closely coordinate with the Sales team in US and with Customers.
You may also be helping us in lead generation via LinkedIn and other media.
Data Analyst
Job Description
Summary
Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.
At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.
Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.
Key Qualifications
- Experience in building highly cost optimised data analytics solutions
- Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
- Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
- Experience in working with AWS or GCP
- Experience with relational and NoSQL databases
- Experience to full stack web development (Preferably Python)
- Expertise with data visualisation systems such as Tableau and Quick Sight
- Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
- Familiarity with ML/AÍ technologies is a plus
- Demonstrate strong understanding of development processes and agile methodologies
- Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly
Description
Data Analytics is at the core of our work, and you will have the opportunity to:
- Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
- Lead quick prototypes by integrating data from multiple sources
- Do advanced Business Analytics through ad-hoc SQL queries
- Work on Sales Finance reporting solutions using tableau, HTML5, React applications
We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.
Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..
Education & Experience
A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

Duration : Full Time
Location : Vishakhapatnam, Bangalore, Chennai
years of experience : 3+ years
Job Description :
- 3+ Years of working as a Data Engineer with thorough understanding of data frameworks that collect, manage, transform and store data that can derive business insights.
- Strong communications (written and verbal) along with being a good team player.
- 2+ years of experience within the Big Data ecosystem (Hadoop, Sqoop, Hive, Spark, Pig, etc.)
- 2+ years of strong experience with SQL and Python (Data Engineering focused).
- Experience with GCP Data Services such as BigQuery, Dataflow, Dataproc, etc. is an added advantage and preferred.
- Any prior experience in ETL tools such as DataStage, Informatica, DBT, Talend, etc. is an added advantage for the role.

- Good understanding of NODE JS back-end development
- Strong understanding of Node.js and frameworks available for it
- Understanding of front-end technologies, such as React or Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.
- Good experience with AJAX, REST and JSON
- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.
- Must be a team player, having good communication skills, self-starter
- Ability to pick up new technology is needed.

Founded by two MDI alumnus, it is a student centric and personalized learning platform that delivers enjoyable learning content as per the state boards. This ed-tech provides a solution which is easy to use, lets students enjoy learning, makes life easy for a teacher and delivers learning in the language that students are most comfortable. The organisation has worked in 14 states across India and awarded Google India under "Impacting Change through Digital".
- Developing Ownership of company's learning app along with the current developers.
- Implementing all improvements, enhancements and updates required to best stabilize the apps.
- Adding new feature in the apps basis the product growth plans.
- Developing Marketplace inside the apps - Paid content marketplace to be developed and setup inside our learning apps as a key responsibility.
- Working on user analytics, user tracking and refining user experience for apps growth and revenue growth.
- Creating/Managing all paid product transactions in the apps and integration to other applications via API/SDK formats.
- Looking into all other aspects of development and refinement that may come up in the growth plan of our app based products.
- Taking up further development, refinement, growth and updates of our android based solutions, and other solutions as per business requirements.
- Taking responsibility and ownership of the work at all fronts as the company is in the growth stage of the app based products.
- Establishing best of practices, processes, sharp product development and updation systems is another key role, to ensure the company and its products are ready for growth.
What you need to have:
- Be self driven, taking ownership of the work and end to end responsibility of the apps.
- You should be willing to keep learning regularly and aspire to be the best version of yourselves and keep improving it.
- You should be willing to put in the hard work with quantitative results and outcomes and the monetary benefits will be matched.
- You should be willing to spend at least 2-3 years in deep product building/scaling and gain unprecedented experience in the same.
- Profile to Personality Fitment Expectations - an undistracted mind, an aspiration for continued learning and holistic growth in life, humility to learn, self confidence to learn and do anything
- Having 3-5 years of deep hands-on development experience in android with end to end product development/management/scaling and ownership.
- Should have developed and end to end managed an app based product with at least 1 lac concurrent users.
- An end user app based product development, go-live, managing, crash management, user management, scaling and growing an app based product experience is important to this profile.
- Strong design sense with amalgamation of development to bring features to best usage is another key expectation of the role.
- Deep and passionate experience of Native android development with firebase, Node. JS, databases, server side integration and development. An end user app based product development, go-live, managing, crash management, user management, scaling and growing an app based product experience is important to this profile.
- Experience in managing, stabilizing and scaling an app with at least 1 lac concurrent users in your past experience.
- Experience of user analytics, apt UI/UX for user engagement, problem solving, and developing products to best serve the objectives.
- Strong design sense with amalgamation of development to bring features to best usage is another key expectation of the role.
- Deep and hands on experience in development on Native Android with the ability to develop all feature requirements that can come up in our app products.
- Ability to develop APIs and SDKs for cross integration of applications with other applications.
- End to end tech product skills with basics of Node.JS , Firebase, My SQL based databases, AWS, Analytics.
- Have complete command on Google Play Console and all skills to use/manage the same.
- Practical experience of user data management, user journey and user engagement to improve app’s usage.
Experience: 3 to 5 years
Annual CTC: Rupees 7,00,000 to 9,00,000


Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results




