Senior Data Engineer

Core Responsibilities
Data modelling, implementing business logic as well as focusing on engineering and design of the
platform.
● API design and development
● Implementation of CRUD (Create, update, read, delete)
● Writing reusable, testable, and efficient code
● Design and implementation of low-latency, high-availability, and performant applications
● Integration of user-facing elements developed by front-end developers with server-side logic
● Write and implement software solutions that integrate different systems
● Identify and suggest ways of improving efficiency and functionality
● Come up with reusable code that is efficient and easily testable
● Use backend logic to integrate user-facing features
● Development of middleware ensuring high performance and responsiveness to requests from the frontend and also development of a complex & secure data aggregation system
● Diagnose bugs and other issues in products
● Write and implement Low-Latency Applications
● Implement security and data protection
● Design and build scalable REST APIs
● Develop, test, tune for performance and deploy web services
● Work with product team to build innovative, robust, and easy-to-use features.
 Collaborate with the team, optimize and refactor the back-end architecture
● Contribute to architectural and design discussions
● Ensure smooth and timely communication with both the internal and external stakeholders.
● Participate in estimations and ensure timely delivery of the features
● Design, Develop & Unit test features in the product
● Conduct peer reviews and ensure quality of committed code

Required Skills:
● Excellent software engineering skills and experience of 2-4 years.
● Solid foundation in data structures and algorithms
● Data modelling and database design. Expert in Python, with knowledge of at least one Python web
framework {such as Django, Flask, etc}
● Good understanding of server-side templating languages like DTL, Jinja 2
● Good understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
● Knowledge of at least one ETL tool or framework (Such as apache airflow)
● Familiarity with SQL and any ORM framework
● In depth knowledge of any one web server like nginx or apache2 would be a plus
● Competent in designing and building web applications and/or web services in a commercial setting
● Competent in design/implementation for reliability, availability, scalability and performance
● Working knowledge of code versioning tools such as Git
● Strong unit test and debugging skills are a plus
● Good understanding of designing micro services

Behavioural
● A self-starter attitude, the ability to work independently and in a group, demonstrated initiative, and
good writing/briefing skills are great to have
● Should be good at analytical thinking and breaking down large problems into solvable chunks
● Demonstrated the ability to think creatively and come up with ideas / thoughts with significant business/
organizational impact
● Ability to quickly adapt to changing technological trends

Company Profile
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.

What you will do:

 

What you need to have:

Responsibilities

- Translate designs and wireframes into high quality code

- Design, build, and maintain high performance, reusable, and reliable Java code

- Ensure the best possible performance, quality, and responsiveness of the application

- Identify and correct bottlenecks and fix bugs

- Help maintain code quality, organization, and automatization

Skills

- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

- Familiarity with RESTful APIs to connect Android applications to back-end services

- Strong knowledge of Android UI design principles, patterns, and best practices

- Experience with offline storage, threading, and performance tuning

- Ability to design applications around natural user interfaces, such as “touch”

- Knowledge of the open-source Android ecosystem and the libraries available for common

tasks

- Ability to understand business requirements and translate them into technical requirements

- Familiarity with cloud message APIs and push notifications

- A knack for benchmarking and optimization

- Understanding of Google’s Android design principles and interface guidelines

- Proficient understanding of code versioning tools, such as Git

Hammoq is an exponentially growing Startup in US and UK. 

Design and implement secure automation solutions for development, testing, and production environments

• Build and deploy automation, monitoring, and analysis solutions

• Manage our continuous integration and delivery pipeline to maximize efficiency

• Implement industry best practices for system hardening and configuration management

• Secure, scale, and manage Linux virtual environments

• Develop and maintain solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring

• Continuously evaluate existing systems with industry standards, and make recommendations for improvement

Desired Skills & Experiences

• Bachelor’s or Master's degree in Computer Science, Engineering, or related field

• Understanding of system administration in Linux environments

• Strong knowledge of configuration management tools

• Familiarity with continuous integration tools such as Jenkins, Travis CI, Circle CI

• Proficiency in scripting languages including Bash, Python, and JavaScript

• Strong communication and documentation skills

• An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail

• Excellent judgment, analytical thinking, and problem-solving skills

• Full understanding of software development lifecycle best practices

• Self-motivated individual that possesses excellent time management and organizational skills
  
  In PM's Words 
  Bash scripting, Containerd(or docker), Linux Operating system basics, kubernetes, git, Jenkins ( or any pipeline management), GCP ( or idea on any cloud technology)
  
  Linux is major..most of the people are coming from Windows.. we need Linux.. and if windows is also there it will be added advantage
  
  There is utmost certainilty that you will be working with an amazing team...

• Strong (3+ years) development skillset: J2EE, Angular, JQuery, Spring, Hibernate, Apache SOLR, Web Services (SOAP, RESTful)
• Strong leadership skills; 3 years experience leading development teams.
• Experience architecting technical designs based on functional and business requirements.
• Project Management skills
• Exceptional communication skills, verbal and written
• Should be able
• To produce high quality technical documentation for our customers
• To decompose technical tasks and provide accurate estimates
• To coach less experienced members of your team
• To undertake development tasks without supervision, including software designing, programming and Unit testing
• To monitor progress and provide updates to the Project Manager

Content Marketing Manager – Job Description

 

About DataWeave

Powered by AI, DataWeave provides Competitive Intelligence as a Service to retailers and consumer brands by aggregating and analyzing data from the Web at massive scale.

While retailers use DataWeave’s Retail Intelligence product to make smarter pricing, assortment, and promotion decisions to drive profitable growth, consumer brands use DataWeave’s Brand Analytics product to govern their online brand presence, optimize their Share of Voice, and drive improved e-commerce shelf velocity.

DataWeave’s Counterfeit Products Detection Solution was awarded as one of the “Best 50 Innovative Applications of Artificial Intelligence” by NASSCOM in 2018. Also, our competitive intelligence platform won the NASSCOM Emerge 50 Award in 2016.

Some of the world’s largest and most popular retailers and brands have consistently trusted DataWeave, including the likes of Overstock, Metro Cash & Carry, OfferUp, Adidas, Dorel, and Netgear.

 

Marketing @DataWeave

The marketing team at DataWeave wakes up to take unique challenges head on in an industry ecosystem that’s only now beginning to consolidate and mature globally. This affords marketeers the opportunity to mould the story of a rapidly growing company like DataWeave as well as the space it operates in.

We serve markets around the world, including Unites States, Europe, India, the Middle East, and South East Asia. We target a variety of industry verticals, including retail, e-commerce, consumer brand manufacturing, and investment firms. As a result, marketing at DataWeave is a rich learning experience and a crash course in engaging multiple audiences across the breadth and depth of organization levels using relevant content across diverse communication channels.    

Join the team today!

Job Summary

At DataWeave, we are seeking to hire an experienced content marketing manager who can develop and disseminate engaging and high-quality content across diverse media that speaks to a variety of personas in the retail and consumer brand industries. The selected candidate will work with the marketing team and liaise closely with several internal stakeholders at DataWeave to conceptualize and execute on marketing-oriented content on an ongoing basis. 

Responsibilities:

• Devise the content marketing plan for DataWeave and own the entire content value chain – the roadmap, ideation, writing, and dissemination. Define the success metrics.
• Write consistently on a wide variety of topics relevant to retailers and consumer brands that are looking to compete profitably in the online world. Generate content for a variety of platforms, such as blogs, website, articles, press releases, case studies, industry reports, guides, white papers, videos, and other emerging formats. Collaborate with internal stakeholders to source information on a consistent basis.
• Create persona-oriented content for marketing collaterals, brochures, presentations, scripts, at-a-glance docs, etc. that can be used by internal sales teams to have more engaged conversations with prospects.
• Understand and translate the benefits of DataWeave’s product suite, which includes proprietary AI/ML, deep learning, and data science technologies, to a business-focused audience.
• Utilize internal domain expertise and perform secondary research to gather useful information and create content that is innovative and original.
• Brainstorm and collaborate with the product, marketing, and data science teams for new ideas and concepts.
• Conduct rigorous quality checks on every piece of content produced.
• Ensure all-around consistency in the style, fonts, and images used, as well as the overall tone of the content.

Requirements:

• 4-8 years’ proven experience as a content writer, media expert, technology journalist, research analyst, or writing for an agency, especially for a B2B audience.
• Exceptional verbal and written communication skills with the ability to produce diverse types of content around the same subject matter, based on the communication medium.
• Any experience writing in the areas of retail, e-commerce, data analytics, or artificial intelligence would be an advantage.
• Bachelor’s degree or higher in journalism, media communications, engineering, or equivalent fields
• Creative thinker with the ability to transform technical and digital information and processes into compelling stories.
• Comfortable working under aggressive timelines. Ability to multitask, prioritize, and manage time efficiently.
• Self-motivated and self-directed in a fast-paced work environment
• Proficient computer skills, including Microsoft Office Suite (Word, PowerPoint, Outlook, and Excel) and Google Docs
• Content Portfolio will be required

What is the role?

As Product Manager for Compass, you will be responsible for the product portfolio, including all product planning and release execution throughout the lifecycle of the product portfolio. This includes defining and prioritizing product roadmap, listening to customers, creating business requirements, driving functional requirements, prioritization, driving this through development, and successfully launching new product features. To read more about the kind of qualities we are looking for in this role, please check this link <https://a16z.com/2012/06/15/good-product-managerbad-product-manager/>;

 

Key responsibilities

1. Strategic planning and managing all stages of Product Life Cycle
2. Develop business cases for each product feature to demonstrate feasibility including target pricing and margin, addressable and realizable market, SWOT analysis, estimated development, implementation, and support costs etc.
3. Planning execution of  roadmap & managing end to end product delivery
4. Work extensively on feature delivery and tradeoffs of a product
5. Help define the value proposition of the product for the Sales & Marketing teams and help with the GTM strategy
6. Research and understand competitive offerings in your sector

 

Who will you work with?

You ll report to the head of product development. 

What are we looking for?

1. 5+ years of product management function in a product company
2. B2B SaaS experience with multiple Stakeholder management would be preferred
3. Self-starter with a passion for independent, creative problem-solving, strong ownership, high commitment and strong business judgment.
4. Enjoy working in a startup environment, with a proven ability to innovate and work customer backwards
5. Ability to think strategically and prioritize in an ambiguous environment.
6. Analytical thinking, project management skills, attention to detail, and exceptional organizational skills are essential

What can you look for?

Challenging opportunity, tough problems and a very good growth path. An excellent opportunity to work with a team of highly talented young professionals. We also offer a whole load of benefits to make your stay enjoyable with Compass?.

We are,

We at Compass strive to make selling fun with our SaaS incentive gamification product.  Compass is the #1 gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Compass turbocharges an entire salesforce. Compass also empowers Sales Managers with easy-to-publish game templates, leaderboards and analytics to help accelerate performances and sustain growth.

We are a fun and high-energy team, with people from diverse backgrounds - united under the passion of getting things done. Rest assured that you shall get complete autonomy in your tasks and ample opportunities to develop your strengths.

Way forward,

If you find this role exciting and want to join us at Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.

Role and Responsibilities:
- Solve complex Cloud Infrastructure problems.
- Drive DevOps culture in the organization by working with engineering and product teams.
- Be a trusted technical advisor to developers and help them architect scalable, robust, and highly-available systems.
- Frequently collaborate with developers to help them learn how to run and maintain systems in production.
- Drive a culture of CI/CD. Find bottlenecks in the software delivery pipeline. Fix bottlenecks with developers to help them deliver working software faster. Develop and maintain infrastructure solutions for automation, alerting, monitoring, and agility.
- Evaluate cutting edge technologies and build PoCs, feasibility reports, and implementation strategies.
- Work with engineering teams to identify and remove infrastructure bottlenecks enabling them to move fast. (In simple words you'll be a bridge between tech, operations & product)

Skills required:

Must have:
- Deep understanding of open source DevOps tools.
- Scripting experience in one or more among Python, Shell, Go, etc.
- Strong experience with AWS (EC2, S3, VPC, Security, Lambda, Cloud Formation, SQS, etc)
- Knowledge of distributed system deployment.
- Deployed and Orchestrated applications with Kubernetes.
- Implemented CI/CD for multiple applications.
- Setup monitoring and alert systems for services using ELK stack or similar.
- Knowledge of Ansible, Jenkins, Nginx.
- Worked with Queue based systems.
- Implemented batch jobs and automated recurring tasks.
- Implemented caching infrastructure and policies.
- Implemented central logging.

Good to have:
- Experience dealing with PI information security.
- Experience conducting internal Audits and assisting External Audits.
- Experience implementing solutions on-premise.
- Experience with blockchain.
- Experience with Private Cloud setup.

Required Experience:
- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.
- You need to have 2-4 years of DevOps & Automation experience.
- Need to have a deep understanding of AWS.
- Need to be an expert with Git or similar version control systems.
- Deep understanding of at least one open-source distributed systems (Kafka, Redis, etc)
- Ownership attitude is a must.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs 

Thats what we think would bloom up your personal life, as a gesture for helping us with your talents.

Join us to be a part of our Exciting journey to Build one Digital Identity Platform!!!

Skills Expectation: .Net Developer Proficiency in ASP.NET 4.0+ C# Web services WCF Web API/Security Proficiency in MVC 4.0+ Entity Framework Proficiency in SQL Server 2012/2014 Job Role: Must have good understanding in concept of Object Oriented Programing. Proficiency in HTML5, Jquery, AJAX, CSS, Javascript, etc