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Data Science
MongoDB
JavaSenior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
Jenkins
Amazon Web Services (AWS)About Us:
Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry.
Key Responsibilities
CI/CD and Infrastructure Automation
- Design, implement, and maintain CI/CD pipelines to support fast and reliable releases
- Automate deployments using tools such as Terraform, Helm, and Kubernetes
- Improve build and release processes to support high-performance and low-latency trading applications
- Work efficiently with Linux/Unix environments
Cloud and On-Prem Infrastructure Management
- Deploy, manage, and optimize infrastructure on AWS, GCP, and on-premises environments
- Ensure system reliability, scalability, and high availability
- Implement Infrastructure as Code (IaC) to standardize and streamline deployments
Performance Monitoring and Optimization
- Monitor system performance and latency using Prometheus, Grafana, and ELK stack
- Implement proactive alerting and fault detection to ensure system stability
- Troubleshoot and optimize system components for maximum efficiency
Security and Compliance
- Apply DevSecOps principles to ensure secure deployment and access management
- Maintain compliance with financial industry regulations such as SEBI
- Conduct vulnerability assessments and maintain logging and audit controls
Required Skills and Qualifications
- 2+ years of experience as a DevOps Engineer in a software or trading environment
- Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD)
- Proficiency in cloud platforms such as AWS and GCP
- Hands-on experience with Docker and Kubernetes
- Experience with Terraform or CloudFormation for IaC
- Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls)
- Familiarity with Prometheus, Grafana, and ELK stack
- Proficiency in scripting using Python, Bash, or Go
- Solid understanding of security best practices including IAM, encryption, and network policies
Good to Have (Optional)
- Experience with low-latency trading infrastructure or real-time market data systems
- Knowledge of high-frequency trading environments
- Exposure to FIX protocol, FPGA, or network optimization techniques
- Familiarity with Redis or Nginx for real-time data handling
Why Join Us?
- Work with a team that expects and delivers excellence.
- A culture where risk-taking is rewarded, and complacency is not.
- Limitless opportunities for growth—if you can handle the pace.
- A place where learning is currency, and outperformance is the only metric that matters.
- The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.
This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.
Javascript
NodeJS (Node.js)
React.jsJavascript, Callback, Async, Promise, Experience in writing restful APIs, Javascript, Nodejs, ReactJs, MySQL.
Immediate Joiner
NodeJS (Node.js)MongoDBAmazon Web Services (AWS)Backend - Software Development Engineer III
Experience - 7+ yrs
About Wekan Enterprise Solutions
Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.
Job Description
We are looking for passionate software engineers eager to be a part of our growth journey. The right candidate needs to be interested in working in high-paced and challenging environments leading technical teams, designing system architecture and reviewing peer code. Interested in constantly upskilling, learning new technologies and expanding their domain knowledge to new industries. This candidate needs to be a team player and should be looking to help build a culture of excellence. Do you have what it takes?
You will be working on complex data migrations, modernizing legacy applications and building new applications on the cloud for large enterprise and/or growth stage startups. You will have the opportunity to contribute directly into mission critical projects directly interacting with business stakeholders, customers technical teams and MongoDB solutions Architects.
Location - Chennai or Bangalore
- Relevant experience of 7+ years building high-performance back-end applications with at least 3 or more projects delivered using the required technologies
- Good problem solving skills
- Strong mentoring capabilities
- Good understanding of software development life cycle
- Strong experience in system design and architecture
- Strong focus on quality of work delivered
- Excellent verbal and written communication skills
Required Technical Skills
- Extensive hands-on experience building high-performance web back-ends using Node.Js and Javascript/Typescript
- Min two years of hands-on experience in NestJs
- Strong experience with Express.Js framework
- Implementation experience in monolithic and microservices architecture
- Hands-on experience with data modeling on MongoDB and any other Relational or NoSQL databases
- Experience integrating with any 3rd party services such as cloud SDKs (Preferable X), payments, push notifications, authentication etc…
- Hands-on experience with Redis, Kafka, or X
- Exposure into unit testing with frameworks such as Mocha, Chai, Jest or others
- Strong experience writing and maintaining clear documentation
Good to have skills:
- Experience working with common services in any of the major cloud providers - AWS or GCP or Azure
- Technical certifications in AWS / Azure / GCP / MongoDB or other relevant technologies
Python
Django
FlaskCompany is building a math-learning platform with a meticulously designed curriculum that helps students become 4x quicker and better at math by nurturing their cognitive abilities and building their core math acumen.
Responsibilities:
• Design, develop, test, deploy and maintain software
• Delivering high quality and well-structured code
• Manage individual project priorities and deadlines
• Participate in enhancing tools and processes
• Participate in production observance and technical incident management
• Ability to quickly learn and adapt to keep up in a fast-paced environment
Must haves:
• Strong data structure concepts
• Great problem-solving skills
• Working knowledge of at least one or more of Java / JavaScript / C / C++ / Golang / Python
• Exposure to RDBMS and/or NoSQL databases
• Working knowledge of GitHub, CI/CD, Devops
Good to have:
• Any cloud exposure like AWS, GCP or Azure
• Hands-on experience with Docker containers, Kubernetes etc
Industry best incentives structure
Note - Ready to travel across Bangalore
- Two wheeler mandatory
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with 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 knowledge 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 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
AngularJS (1.x)
Angular (2+)JavascriptSkills:-
Javascript, HTML, CSS, Angular.
Responsibilities: -
• 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 Front-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 Front-end development.
Required Skills and Professional Expertise:
• Bachelor's degree in computer science, information science, or similar.
• Proven hands-on- experience on Software Development.
• At least one year of experience in Angular js.
• Hands-on-experience in designing application using Angular js, HTML, CSS, Javascript.
• Profound insights of Angular (Class loading, Memory Management,
Transaction Management etc.)
• Experience in developing Web applications using at least one popular web
framework (MVC)
• Experience with test-driven development.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Availability to resolve urgent web application issues outside of business hours.
- Consolidation and Reporting of Periodic Financial Performance (under IFRS)Reporting under different GAAPs (India, Singapore, etc.) for statutory purposes
- Liaising with consultants for the Statutory / Internal / Tax Audits / Due-diligences when necessary
- Month-end closure including General Ledger, Intercompany entries
- Procure to Pay (including accounting, agreements) for one of the important business drivers
- Maintaining Fixed Asset register
- Monthly general operating expense closure which includes preparation and posting monthly accruals, prepayments, depreciation related journals, and analysis of the monthly movement of general operating expenses
Requirements
- Qualified CA with at least 2 years post qualification, industry experience
- International accounting/taxation
- Experience in IFC Framework
- Hands-on knowledge of Indirect tax and Direct tax compliances of more than one country
- Process orientated with good problem-solving skills
- Proficient knowledge in using Microsoft - Excel, Word & PowerPoint
iOS App Development
Swift
Objective C1. Experienced iOS Developer with full-time work experience in developing iOS apps for iPhone, iPad, iPod.
2. Should be proficient in Swift and Objective C and use Xcode, Cocoa libraries, and other third-party libraries to develop apps.
React.js
Redux/FluxJavascriptWhat you will do
If you are looking to be part of the early-stage start-up team that is charting the course and solving a key pain point for the CXO, this opportunity is for you. The opportunity will provide you join a company where you can contribute to all aspects of the product definition, product building and solving some key challenges.
- Architect solutions and execution through hands-on development, quality-assurance, and prototyping
- Collaborate with a UX/UI designers and other front-end and middle-tier engineers to design, prototype, and build user interface for complex cloud-based product
- Participate in complete development life cycle activities like design, coding, testing and production release
- Develop and maintain a scalable web and responsive applications
- Exhibit Devops mindset – Work on continuous integration, including provisioning, deployment, testing, and version control of the software
- Mentor new software developers and junior engineers
What you will bring
- Passionate engineer with 5 – 8 years of hands-on experience of developing next-generation user interface with high quality and performance
- Strong desire to learn & evaluate new libraries/frameworks, and share knowledge with others
- Ability to work in a fast-paced and agile development environment
- Sound knowledge of front end standards and practices
- Translating designs and wireframes into high-quality code
- Knowledge of Redux, React.js and its core principles
- Familiarity with RESTful APIs
- Strong proficiency in JavaScript, AJAX, HTML5, CSS3, JSON, including DOM manipulation and the JavaScript object model
- Experience with popular JS frameworks and libraries (React, Angular, JQuery, Ember, Babel, Webpack etc.)
- Experience of building Single-page Web Apps
- Ability to understand business requirements and translate them into technical requirements
- Experience with test automation: TDD, unit/integration/functional testing
- Proficient with debugging and testing tools to troubleshoot and optimize the UI
- Solid understanding of object-oriented design and programming concepts, core JavaScript concepts like scope/closures, the event loop and asynchronous callbacks, promises
Good to have
- Full-stack development experience
- Prior Startup Experience
- Prior experience in developing real-time web applications
- Experience with continuous deployment
- Proficiency with Git/Github
- Experience with GraphQL
Success Factors
- Start-up mindset
- Good problem solving abilities
- ‘Can-do’ attitude
- Prior experience of working with globally distributed teams is an added advantage
- Work with minimal supervision
- Excellent communication skills and being able to work independently or in a full team
Why Join Us
Our team is looking for fast-moving engineers with an entrepreneurial mindset. As a software engineer, you will help grow the platform by identifying new features, products, and business opportunities. You will write and own scalable production-grade code across the platform in collaboration with the small, close-knit and dedicated global development team.
We keep cloud-native concepts close to our heart whenever we design any software component and you will have exciting opportunities to work on new software frameworks, modern tech stack and cloud-native applications using latest cloud technologies.
If you want to feel and see that your contributions matter, have a strong desire to work for an early-stage startup and if you love working in a dynamic, agile, continually improving environment and most importantly, work with good people, come talk to us. If you are excited about the opportunity to build a cool new Cyber Security SaaS product ground-up then lets talk!!
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