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Job Title : Informatica Administrator
Experience : 3 to 8 Years
Location : Hyderabad / Bangalore / Pune
Shift : Night Shift (10:30 PM – 7:30 AM)
Mode of Work : Hybrid – 3 Days Work From Office (WFO)
Job Overview :
We are hiring experienced Informatica Administrators to join our dynamic team. This is a night shift role, and we’re looking for professionals with a strong understanding of Informatica Admin tasks including patching, migrations, access management, and job scheduling.
Mandatory Skills : Informatica Administration, Patching & Migration, User Access Management, Job Scheduling, Ticketing Tools, Night Shift Support.
Key Responsibilities :
- Provide hands-on support for Informatica Administration including monitoring and maintenance.
- Manage application upgrades, patching, and perform migrations across different environments.
- Monitor user access and perform user management activities.
- Support data refresh activities across various systems and environments.
- Collaborate with vendor support teams to resolve product-related issues.
- Handle implementation and scheduling of Informatica objects.
- Participate in ticket resolution using monitoring tools.
- Work effectively during night shift schedules as per monthly rotation.
Required Skills :
- Minimum 5+ Years of hands-on experience in Informatica Administration.
- Strong expertise in application support, patching, and user access management.
- Experience in working with ticketing and monitoring tools.
- Excellent communication and stakeholder management skills.
- Ability to work independently in a 24x7 support environment with a focus on night shifts.
Shift Details :
- Primary Shift : 10:30 PM – 7:30 AM (Night Shift)
- Other Shifts (Rotation-based) :
- 7:00 AM – 4:00 PM
- 2:00 PM – 11:00 PM
Primary responsibilities will include:
• In-depth involvement and ownership of the financial and taxation due diligence function of the firm at every stage of the portfolio company’s transitional journey
• Developing a deep understanding and analysis of the portfolio company’s financial model
• Portfolio monitoring and financial/operational analysis
• Competition benchmarking and analysis
• Creation of frameworks and guidelines for key business functions both internal and with portfolio companies
• Stage-wise financial and operational goals setting and assessment for portfolio companies
• External and Internal reporting on a Quarterly and Annual basis
Qualifications:
• 4-6 years of relevant work experience
• CA preferred
• Working in Big 4 or 6 companies
• Strong analytical and interpersonal skills
• Should possess strong ethics and high integrity
Angular (2+)
Javascript
HTML/CSS• Ensuring high performance on mobile and desktop
• Writing tested, idiomatic, and documented JavaScript, HTML, and CSS
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Cooperating with the back-end developer in the process of building the RESTful API
• Communicating with external web services
• Ensure high-quality graphic standards and brand consistency
• Stay up-to-date on emerging technologies
• Write functional requirement documents and guides
- Deep knowledge of Angular practices and commonly used modules based on extensive work experience
- Proficiency with JavaScript and HTML5
- Extensive knowledge of CSS and JS methods for providing performance visual effects and keeping the frame rate above 30fps at all times
- Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
- Creating custom, general use modules and components which extend the elements and modules of core Angular
- Ability to understand business requirements and translate them into technical requirements
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.
Javascript
Bootstrap
PythonHTML/CSSJob Description
- 4-5 years of overall experience and 2+ years of experience as full stack developer with skills on Python, Javascript and databases.
- Excellent programming skills and hands-on experience in Python, Java Script, HTML, and CSS.
- Experience of working in Data Science domain is an advantage, but not mandatory.
- Ability to positively contribute to a team and willingness to quickly complete large volumes of work with high quality.
- Excellent analytical and critical thinking skills.
- Excellent verbal and written communication skills.
- BE/BTech or MCA Degree or any graduate with desired skills.
React.js- You'll help shape the product by leading the overall design and development of the technical solution
- Designing and developing user interfaces using React best practices,
- Developing Front end application code and unit tests in React along with Service Layer
- Shine with engineering excellence by developing test infrastructures, writing documentation, ensuring high performance, and following an agile development methodology
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers
- Research on new frameworks for improving the architecture
- Ensure development best practices are followed (Clean Code, Clean Architecture, code reviews)
- Actively communicate with the stakeholder and team
Desired Profile of the candidate
- Proficiency with ReactJS and its libraries
- Good to have Node experience Proficiency with ReactJS and its libraries
- Good to have Node experience
- Ensuring a clear dependency chain, regarding business logic as well as the file system
- Experience in JavaScript build tools like grunt or gulp
- Expert in any one of the modern JavaScript MV-VM/MVC frameworks (React, JQuery, NodeJS)
- Hand on and implements complex ReactJS applications, directives, controllers, services
- Expertise in writing and consuming web services,
- Good to have, knowledge in Cloud services
- Ability to quickly script a working solution for a given problem.
- Creative problem-solving skills.
- A results-focused mindset.
- Able to proactively communicate with non-technical stakeholders, manage expectations, and explain the value of addressing technical debt
- Ensuring a clear dependency chain, regarding business logic as well as the file system
- Experience in JavaScript build tools like grunt or gulp
- Expert in any one of the modern JavaScript MV-VM/MVC frameworks (React, JQuery, NodeJS)
- Hand on and implements complex ReactJS applications, directives, controllers, services
- Expertise in writing and consuming web services,
- Good to have, knowledge in Cloud services
- Ability to quickly script a working solution for a given problem.
- Creative problem-solving skills.
- A results-focused mindset.
- Able to proactively communicate with non-technical stakeholders, manage expectations, and explain the value of addressing technical debt.
Python
Django
Amazon Web Services (AWS)We are looking to hire a Full-time, Remote (India) Backend engineer with a flair for writing full stack code to help create a SAAS product from the ground up in a niche industry.
This will be the v2.0 of an existing legacy platform with paying customers. This position is within the first few hires in the founding team of the revamped company.
We are on a mission to build a truly world class product and deliver at high speeds with high quality.
Read on and apply for the job if you are a doer, likes no BS, think you're competent enough to get things done, wants some quiet time every day, wants to make a difference, values work life balance and enjoy life outside work.
Experience -
At least 3 to 4 years building scalable SAAS applications in the cloud. It would be great to showcase anything progressive. Education from premier institutions, git contributions, tech blogs, volunteering, pet projects, etc.
Responsibilities -
- Architect, write, deploy and own the (SAAS) product from a technical standpoint working closely with other devs on the team
- Create and deliver the product end-to-end all the way to the user
- Write highly performant code and continuously measure performance and make the application better based on benchmarks
- Debug production issues and keep the application quality high always
- Assist with hiring more people when the team grows
- Pick up any appropriate work as in any early-stage company
General Skills Needed -
- Should be able to build and deploy multi-tenant SAAS applications end to end
- Need to have a technology-agnostic mindset. Should be able to easily pick up any new technology based on the use case.
- Should be an expert software craftsman/craftswoman. Must own the code and be proud of what you build.
- Write well thought out, well-tested code with extensive unit tests and integration tests so that the addition of future features is easy.
- Must know cloud deployment concepts and be comfortable creating and maintaining cost-effective cloud deployment strategies. AWS experience highly preferred.
- Must be able to design and architect simple, market-tested yet highly scalable solutions
- Must be able to quickly iterate and produce working software at a high speed. Must not be shy to scrap and rebuild when there is a need
- Must be appreciative of documentation and write well-documented code and technical documentation alongside
Technical Skills Needed -
- Expert level knowledge in Python and Django. We are a Python/Django/Javascript/ReactJs/AWS shop.
- Must have good knowledge/experience in creating cost-efficient and scalable cloud deployments (AWS preferred)
- Must have good knowledge of industry-standard design patterns and tools
- Must have a good understanding of various frameworks on authentication and authorization, billing and metrics
- Some experience in data analytics and reporting - creating reports based on the data collected and deliver to the frontend
- Expertise with Frameworks
- Django, or similar backend frameworks
- PostgreSQL, MySQL, any NoSQL or other database technology
Job Perks
Perks -
- Opportunity to build a SAAS product from the ground up. Lots of challenges to tackle on
- Work remotely from anywhere within India
- Emphasis on work-life balance and professional development
- Flexible work hours and a lot of autonomy
- Work with a very informal team collaborating over slack. No meaningless meetings. Focus on getting things done and not hours put in
- Opportunity to grow the team with the company
- Market salary and a yearly bonus outside the salary based on company + individual performance
- Generous PTO plan
We are looking for Senior Tally Developer to integrate our platform with Tally.
Job responsibilities will be cross-functional - ranging from "clean" coding to architectural changes to client interactions. Over a period of time, you're expected to challenge the existing tech stack and add your baby components to it. A person should be a team player, should have an eye for detail and problem-solving skills.
Requirements:
- 4+ Years of experience as a Tally Developer
- Insightful knowledge in building TDLs for Tally
- Familiarity with Agile development methodologies.
- Do high-level technical design with guidance, functional modeling, break-down of the module by thinking platforms, and re-use.
- Sense of ownership and attention to detail.
Selected candidates day-to-day responsibilities include:
1. Create and manage content based on current trends
2. Engage with audiences on our various social media platforms
3. Strategize authentic and impactful digital content and ensuring their role out within specified deadlines.
Required Experience and Qualifications
Social Media Marketing, Adobe Photoshop and Digital Marketing.
- Social media expertise (Instagram/Snapchat/Twitter)
- Good communication skills
- Ambition backed with a desire to succeed
- Elementary knowledge of photoshop, illustrator, etc.
JavaHTML/CSS
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