Data Analyst

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.
2. Deep Learning Frameworks: PyTorch, spaCy, Keras
3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers
4. Experience in working with Image processing, computer vision is must
5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.
6. Programming experience in Python
7. Strong written and verbal communications
8. Excellent interpersonal and collaboration skills.

Role descriptions / Expectations from the Role

Design and implement scalable and efficient data architectures to support generative AI workflows.

Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

Apply prompt engineer techniques as required by the use case

Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

As a Network Engineer at Propel, you will play a vital role in designing, implementing, and maintaining our network infrastructure to ensure optimal performance, security, and scalability. You will work closely with cross-functional teams to develop and support network solutions that align with business objectives and industry best practices.

Responsibilities 

• Design, implement, and maintain network infrastructure, including LAN, WAN, and wireless networks, Site to Site and Client to Site VPN to support business operations and growth.

• Develop and implement network security strategies, including firewall policies, intrusion detection and Prevention (IDS/IPS), access control and CCTV systems, to safeguard company data and resources.

• Configure, troubleshoot, and optimize network devices such as routers, switches, firewalls, High availability, L3/L2/PoE Switches and load balancers, QoS.

• Configure VLan and segregate access between different teams

• Perform hardware troubleshoot such as port failure, system crash, hardware failure etc.,

• Design and implement patch panels and cabling

• Monitor network performance and ensure system availability and reliability. Identify areas for improvement, implementing network optimization and redundancy solutions as needed.

• Perform network maintenance and system upgrades including service packs, patches, hot fixes and security configurations

• Collaborate with other IT teams to evaluate and recommend networking solutions for application and infrastructure projects.

• Implement security tools, policies, and procedures in conjunction with the company’s security team

• Perform network maintenance and system upgrades including service packs, patches, hot fixes, firmware and security configurations

• Monitor system resource utilization, trending, and capacity planning

• Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure.

• Monitor network performance on the availability, utilization, throughput, jitter and latency and test for weaknesses.

• Perform Vulnerability assessment Pen testing at network level and mitigate issues

• Create and maintain network documentation, diagrams, and configurations.

• Knowledge of common security vulnerabilities and OWASP vulnerabilities

• Provide support for critical network incidents on shift basis to support 24x7 model on need basis.

• Exploring automations to integrate for managing networks and provide timely network alerts

• Use ticketing system to document requests, track changes, and explain resolutions

Requirements:

• Bachelor's degree in computer science, Engineering, or a related field.

• 4+ years of experience as a Network Engineer or similar role, with a focus on implementing and managing complex network environments.

• Deep understanding of networking protocols, such as DNS, DHCP, CIDR, IPSEC TCP/IP, BGP, OSPF, and MPLS.

• Proficiency with network hardware, including routers, switches, firewalls, and load balancers from vendors like Fortinet, Cisco etc.,

• Strong knowledge of network security best practices and technologies, such as firewalls, VPNs, and intrusion detection systems.

• Experience with network monitoring and management tools

• Excellent troubleshooting and problem-solving skills and a commitment to continuous improvement.

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.

Nice-to-Have:  

• Relevant networking certifications, such as CCNP, CCIE, JNCIP, or JNCIE.

• Experience with software-defined networking (SDN) and network automation technologies, such as Ansible, Python, or REST APIs.

Others:

• Common application/ web security and OWASP vulnerabilities

• Encryption algorithms to protect sensitive information

• PII, PCI, HIPPA, and GDPR compliance and how to implement

• Finding the vulnerabilities of the third-party components/ libraries

• Understanding security breaches of data-in-transit and data-at-rest and its implementation

You will be responsible for: 

• Owning the design and delivery of your code from cradle to grave.
• Peer reviewing your team mate’s code
• Being a key player in this client’s Digital Transformation – both implementing changes to existing APIs and developing new ones to integrate with the latest digital stack.
• Developing new and be-spoke features as well as working on large scale integrations 
• Working in an Agile Scrum environment where you will be challenged and motivated 
• Calling out risks if you spot them in a particular approach or design.

Qualifications

Skills Required:

• Technical design experience.
• Hands on Java development experience, in particular with Spring (minimum of 4 years)
• Knowledge of JavaScript and NodeJS is highly desirable
• You will have worked in an Agile Scrum environment and be comfortable with fast-paced Sprint Cycles
• Previous experience building web service API’s is key for this role – Apigee is the preferred technology
• Any experience with Microsoft Azure is a nice to have – this is the direction we are going

Additional skills we are looking for include:

• Spring Framework
• GIT
• Jenkins
• Maven
• Bash Scripting
• Oracle PL/SQL or any other SQL technologies
• Weblogic 12c or other container technologies
• Unit testing with Mockito
• Integration testing with FitNesse, Spock or similar

• 12 to 16 years of experience in enterprise level software architecture, design, development (architecture, design patterns, reliability and scaling) of new and current systems
• Experienced in Full Stack product development
• Bachelor’s Degree in computer science or a related field
• Computer Science fundamentals in data structures, algorithm design and problem solving.
• Extensive knowledge and deep understanding of Java and related technologies
• Experience with modern software development methodologies: Agile/Kanban, CI/CD, DevOps, etc.
• Proficiency in Full Stack product development
• Proficiency with Java is essential.
• Proficiency with React, TypeScript, JavaScript, HTML CSS is essential
• Proficient with REST APIs
• Proficient with product development experience on both front end and back end
• Experience with AWS and/or other public cloud technologies.
• Database Experience (query optimization, index generation, caching) or NoSQL DBs a plus

Preferred Qualifications:

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

About InApps team

In-app team is responsible for effectively delivering the contextual information to help companies cross-sell/up-sell on specific workflows triggered on desired actions performed by application users. As a member of in-app team, you will be working on developing high performance systems to deliver the contextual campaigns in real time. In addition to real time campaign delivery, you will work on designing a flexible platform to provide customised experience for application users using web personalization, which allows companies to present unique and personalized experiences on their applications.

• Scaling campaign delivery with personalized content to 500M unique users within 1 sec.
• Rich campaign content delivery keeping user experience native to mobile and web applications.

• Proven experience in handling large infrastructure and distributed systems
• Proven experience in managing high performing engineering teams
• Proven experience with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Hands on in Java OR Python related technologies and frameworks
• Familiarity with ElasticSearch, MongoDB is a plus
• Liaison with Product Management, DevOps, QA and other teams
• Performance management, Sprint management, Roadmap, Hiring, Onboarding, Mentoring, Costing, Documenting

At MoEngage, we are passionate about our team and technology - see below to know more about us and technology.

https://twitter.com/hashtag/lifeatmoengage?f=tweets&;vertical=default">Life @MoEngage

https://twitter.com/hashtag/techatmoengage?f=tweets&;vertical=default">Tech @MoEngage

https://www.moengage.com/blog/techatmoengage-reddit-has-330m-monthly-active-users-so-do-we/">Scale @MoEngage

We handle more than a billion messages everyday. Rest assured, you will be surrounded by really smart and passionate people as we scale much more to build a world class technology team.