
Responsibilities for Data Architect
- Research and properly evaluate sources of information to determine possible limitations in reliability or usability
- Apply sampling techniques to effectively determine and define ideal categories to be questioned
- Compare and analyze provided statistical information to identify patterns, relationships and problems
- Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
- Prepare detailed reports for management and other departments by analyzing and interpreting data
- Train assistants and other members of the team how to properly organize findings and read data collected
- Design computer code using various languages to improve and update software and applications
- Refer to previous instances and findings to determine the ideal method for gathering data

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7+ years of experience in Python Development
Good experience in Microservices and APIs development.
Must have exposure to large scale data
Good to have Gen AI experience
Code versioning and collaboration. (Git)
Knowledge for Libraries for extracting data from websites.
Knowledge of SQL and NoSQL databases
Familiarity with RESTful APIs
Familiarity with Cloud (Azure /AWS) technologies
About Wissen Technology:
• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
Website : www.wissen.com
Job Description
We are seeking a highly skilled Sr. Fullstack Mobile Developer with a passion for crafting exceptional mobile experiences and robust backend systems. This role demands a deep understanding of React Native, Node.js, and modern cloud ecosystems like AWS, combined with a commitment to best practices and continuous improvement.
As part of our team, you will work closely with cross-functional teams to design, build, and maintain high-performance mobile applications and scalable backend solutions for our clients. The ideal candidate is a team player with a growth mindset, a passion for excellence, and the ability to energize and inspire those around them.
Requirements
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
- Experience: 4-6 years of professional experience as a Fullstack Developer, with at least 3 years in mobile development using React Native.
- Proven expertise in building and scaling mobile applications and backend systems in a services environment.
- Strong proficiency in Python or Node.js, AWS, and database technologies (SQL and NoSQL).
- Experience implementing CI/CD pipelines and automation tools.
- Deep knowledge of software engineering best practices, including clean code principles and test-driven development.
- Familiarity with AI copilots and a willingness to incorporate AI-driven tools into workflows.
- Excellent communication and collaboration skills, with the ability to inspire and influence teammates.
- Demonstrated growth mindset, passion for learning, and a commitment to excellence.
- A perfectionist attitude with an eye for detail and a drive to deliver outstanding results.
- Prior experience working with a services company is a must.
Benefits
- Creative Freedom: A culture that empowers you to innovate and take bold product decisions for client projects.
- Comprehensive Healthcare: Extensive health coverage for you and your family.
- Tailored Growth Plans: Personalized professional development programs to help you achieve your career aspirations.
Summary
We are looking for a 'passionate sales enthusiast’ and a skilful business development executive (BDE) to contribute to achieving our marketing and sales goals. The BDE will primarily work as the front face of Emipro to the prospect who will be a spokesperson or decision-maker for small and medium enterprises. You will have to understand their requirements, coordinate and discuss with your superior and direct the process further in alignment with Emipro’s business vision and ensure your interactions with our customers reflect positively on the company and its growth.
Highlights about your Role
➢ Manage initial discovery calls with customers leads
➢ Understands Customer’s Business and keeping empathetic approach towards customers
➢ Building Trust and Transparency with Customers
➢ Go-getter attitude to close the lead
➢ Creating and delivering impressive presentation/demo to the customer
➢ Managing follow-up activities to ensure customer engagement
➢ Negotiating contracts
➢ Working on guidelines by senior level peer
➢ Gaining know-how expertise in the ERP Business Applications
➢ Preparing RFP/RFI as per the customers’ need
➢ Continuous efforts to achieve sales quotas
➢ Self upgradation through industry study and research
Background
Praan (Praan, Inc.) is an impact focused deep-tech startup democratising clean air using breakthrough filterless technology. The company is backed by top tier VCs and CXOs globally and currently operates between the United States and India. Our team puts extreme attention to detail and loves building technology that's aspirational. Praan's team and culture is positioned to empower people to solve large global problems at an accelerated pace.
Why
Everyone worries about the dooms-day in climate change which is expected to occur in the 2050s. However, there's one doom's day which is the reality for millions of people around the world today. Air pollution takes more than 7 Million lives globally every single year. Over 5% of premature children death occur due to air pollution in developing countries. Everyone has relied on governments or experts to solve the problem, but most solutions up until today have either been too expensive or too ineffective. Praan is an attempt at making the future cleaner, healthier, and safer for the generations to come.
Job Description
- Lead the technical sales efforts for Praan's filterless purification systems, targeting industrial clients for the MK II platform, and commercial clients for the HIVE platform
- Identify potential customers, establish and nurture relationships, and conduct product demonstrations to showcase the features and advantages of our product portfolio
- Collaborate closely with the engineering and product teams to understand technical details, product capabilities, and competitive advantages, enabling you to effectively communicate the value proposition to potential customers
- Understand customer requirements and tailor product solutions to meet their specific needs, providing technical recommendations and guidance throughout the sales process
- Develop and deliver persuasive sales presentations, proposals, and product demonstrations to key decision-makers, highlighting the benefits and ROI of our products
- Actively track and manage sales opportunities through the entire sales cycle, from lead generation to deal closure, ensuring timely follow-ups and effective communication to meet sales targets
- Provide feedback from the market to the product development teams, helping to shape future product enhancements and new offerings based on customer needs and market trends
Skill Requirements
- Past academic education in Engineering + MBA or equivallent
- Proven track record working on engineering projects and have sold products like vibro sifters
- Past experience of 7 years to 10 years in the relevant industry
- Proven track record of successful technical sales, preferably in the B2B environment, with a focus on complex products or solutions
- Proven track record of achieving monthly/quarterly and yearly targets
- Strong leadership skills - will be managing a team of 4-5 Inside sales representatives
- Strong technical acumen and the ability to understand and explain technical concepts to both technical and non-technical audiences
- Excellent communication and presentation skills, with the ability to articulate complex ideas clearly and concisely
- Demonstrated ability to build and maintain strong relationships with customers, understanding their needs and providing effective solutions
- Self-motivated, results-oriented, and able to work independently as well as collaboratively within a cross-functional team environment
- Willingness to travel as required to meet with clients, attend trade shows, and participate in industry events.
Intuitive cloud (http://www.intuitive.cloud/">www.intuitive.cloud) is one of the fastest growing top-tier Cloud Solutions and SDx Engineering solution and service company supporting 80+ Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is a recognized professional and manage service partner for core superpowers in cloud(public/ Hybrid), security, GRC, DevSecOps, SRE, Application modernization/ containers/ K8 -as-a- service and cloud application delivery.
Job Description :
Mandatory Skills- Paloalto, F5 LTM, VXLAN, cisco, architecture, any cloud(Azure, AWS)
- 8+ years of Strong Enterprise networking with Routing/Switching configuration/diagnostic experience in Global Network infrastructure design delivery of WAN, LAN, Firewall, and F5.
- Experience with Cisco hardware and OS : Catalyst switches, ISR/ASR routers, ASA
- Strong practical experience with Palo Alto firewalls is a MUST (VM series, CN series and other DC models)
- Strong understanding of the following Network protocols: BGP, IPSec and IPSec VTI VPN
- Experience and in-depth understanding of TCP/IP packets with ability to analyze captured packets for deep troubleshooting.
- Scripting (Python, Ansible, Tower) experience is a plus
- Work closely with the Network architecture, security and application teams to rollout new designs and perform activities for supporting cloud application migration projects.
- Leverage his/her prior experience with Azure and AWS to implement global connectivity Secure solutions.
- Implement an automated process for cloud network environment eliminating manual and repetitive tasks
- Create and maintain Infrastructure as Code (IAC) using industry standard platforms.
- Implement industry standard cloud network security practices during build activities and maintain it throughout the lifecycle.
- Perform functional testing to verify implementation meet production acceptance standards
- Provide support of cloud network services for complex issues
- AWS-specific skills (Networking: vpc, virtual gateway, Route53, Direct Connect Gateway, transit vpc, transit gateway, lambda, endpoints, load balancers) and (Security: ACM, WAF, Config, CloudWatch, Flow-logs, IAM, ES etc.)
- Security Architecture: Build Cloud Network Architecture to support Encryption of Data at rest and transit
- Other services such as Guardrail, GuardDuty, AWS shield, CloudFront, AWS Control Tower, Inspector
- Azure-specific skills (Networking: vnet, vnet peering, udr, sdr, expressroute, nsg, load balancers, endpoints.)
- Experience with automated configuration and deployment: Terraform or other Infrastructure as Code (IAC) frameworks
- Experience with distributed version-control systems: git/github
We are looking for an exceptional Software Developer for our Data Engineering India team who can-
contribute to building a world-class big data engineering stack that will be used to fuel us
Analytics and Machine Learning products. This person will be contributing to the architecture,
operation, and enhancement of:
Our petabyte-scale data platform with a key focus on finding solutions that can support
Analytics and Machine Learning product roadmap. Everyday terabytes of ingested data
need to be processed and made available for querying and insights extraction for
various use cases.
About the Organisation:
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom, and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Job Description
Position:
Software Developer, Data Engineering team
Location: Pune(Initially 100% Remote due to Covid 19 for coming 1 year)
- Our bespoke Machine Learning pipelines. This will also provide opportunities to
contribute to the prototyping, building, and deployment of Machine Learning models.
You:
- Have at least 4+ years’ Experience.
- Deep technical understanding of Java or Golang.
- Production experience with Python is a big plus, extremely valuable supporting skill for
us.
- Exposure to modern Big Data tech: Cassandra/Scylla, Kafka, Ceph, the Hadoop Stack,
Spark, Flume, Hive, Druid etc… while at the same time understanding that certain
problems may require completely novel solutions.
- Exposure to one or more modern ML tech stacks: Spark ML-Lib, TensorFlow, Keras,
GCP ML Stack, AWS Sagemaker - is a plus.
- Experience includes working in Agile/Lean model
- Experience with supporting and troubleshooting large systems
- Exposure to configuration management tools such as Ansible or Salt
- Exposure to IAAS platforms such as AWS, GCP, Azure…
- Good addition - Experience working with large-scale data
- Good addition - Good to have experience architecting, developing, and operating data
warehouses, big data analytics platforms, and high velocity data pipelines
**** Not looking for a Big Data Developer / Hadoop Developer
Laravel developer is responsible for designing, developing, and maintaining web applications using the Laravel framework. They must have a strong understanding of PHP, MySQL, HTML, CSS, and JavaScript. Additionally, they should have experience working with other PHP frameworks and have a good understanding of software design principles.
The responsibilities of a Laravel developer may include:
- Developing, testing, and maintaining web applications using Laravel.
- Working closely with other developers and stakeholders to ensure the application meets requirements.
- Troubleshooting and resolving issues with the application.
- Writing clean, efficient, and well-documented code.
- Developing and maintaining APIs to integrate with other systems.
- Ensuring the application is secure and scalable.
- Participating in code reviews and collaborating with the team to improve code quality.
- Staying up-to-date with new technologies and best practices in web development.
Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are looking for a DataOps Engineer with expertise while operating a data lake. Amazon S3, Amazon EMR, and Apache Airflow for workflow management are used to build the data lake.
You have experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.
If you love solving problems using yo, professional services background, usual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Operate the current data lake deployed on AWS with Amazon S3, Amazon EMR, and Apache Airflow
- Debug and fix production issues in PySpark.
- Determine the RCA (Root cause analysis) for production issues.
- Collaborate with product teams for L3/L4 production issues in PySpark.
- Contribute to enhancing the ETL efficiency
- Build CloudWatch dashboards for optimizing the operational efficiencies
- Handle escalation tickets from L1 Monitoring engineers
- Assign the tickets to L1 engineers based on their expertise
What are we looking for?
- AWS data Ops engineer.
- Overall 5+ years of exp in the software industry Exp in developing architecture data applications using python or scala, Airflow, and Kafka on AWS Data platform Experience and expertise.
- Must have set up or led the project to enable Data Ops on AWS or any other cloud data platform.
- Strong data engineering experience on Cloud platform, preferably AWS.
- Experience with data pipelines designed for reuse and use parameterization.
- Experience of pipelines was designed to solve common ETL problems.
- Understanding or experience on various AWS services can be codified for enabling DataOps like Amazon EMR, Apache Airflow.
- Experience in building data pipelines using CI/CD infrastructure.
- Understanding of Infrastructure as code for DataOps ennoblement.
- Ability to work with ambiguity and create quick PoCs.
You will be preferred if
- Expertise in Amazon EMR, Apache Airflow, Terraform, CloudWatch
- Exposure to MLOps using Amazon Sagemaker is a plus.
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Experience: 4 to 6 years prefreable.











