11+ Database QA Jobs in Pune | Database QA Job openings in Pune

Qualities / Experience We're Seeking

- 5+ years of Quality Assurance/Testing experience.

- 3+ years of Data Quality experience, or SDET experience with a focus on data, data warehousing, reporting, etc.

- 3+ years of Data Quality experience, or QA experience with a focus on Android, iOS, Roku, and connected devices,

- 3+ years of testing experience working within an Agile environment, and with Agile Management tools such as JIRA.

- Experience with Automation Framework development using Java.

- Experience with Performance Test Design, Development, and load testing execution.

- Design, create and maintain assets used to execute performance tests and contribute to the execution and monitoring of performance test executions using ApacheJMeter, LoadRunner, or similar tools.

- Working knowledge of JAVA, JVM, Spring Boot, data warehouse, data integration, SQL Server, apache Kafka, data streaming, big data, MongoDB, SQL, Web Services, microservices,ETL,change data capture (CDC), DevOps.

- Strong SQL experience, with knowledge of AWS Redshift, Snowflake, or columnar databases.

- Experience with reporting or analytics tools like Tableau or Mode.

- Experience working with Amazon Web Services, querying, and working with data in various AWS services.

- Programming experience in a language such as Python, Java, etc. for the purposes of parsing files and running queries.

- Experience with analytics implementations (network events, ad beacons, user action events, etc.) in a web or mobile application.

Hello,

 

Greetings for the day !!!

 

We are hiring "Technical Support L2 - Partner Engagement" for one of the international MNC specialized into Hardware & Networking based @ Mumbai/Pune/Bangalore !!!

 

Position: Technical Support L2

 

Qualifications: Any graduate/Diploma

 

Experience: 2+ yrs

 

Job Description

1. Troubleshoot Microsoft Office Products (O365)
2. Windows 10 desktop issues
3. Windows updates and driver issues
4. Basic concepts of networking
5. Ping
6. DNS
7. Web Browser Troubleshooting
8. RingCentral Phone Systems
9. Excellent Communication Skills
10. Excellent Customer Service
11. Outlook Troubleshooting.
12. Third party application installation and troubleshooting (using reference guide)

Candidate needs to have exposure to interacting with International clients – eg US, UK, Australia, Canada etc, and excellent communication skills.

 

Shifts –Rotational – US/Night Shifts
(Candidate will be required to work in US/Night shifts, we will not be able to commit on shift timings, since shift timings will be dependent on the preferences of the client)

Location – Position can be based out of Pune, Mumbai or Bangalore – however interviews will happen at Mumbai location.

Notice period – Max 60 days

 
Interview Mode: Face to Face on 20th August 2022

Front End developers

• Angular.JS experience
• MongoDB query and aggregation experience (not a database administrator)
• GraphQL experience
• Node.JS and Typescript experience
• CSS and SCSS experience
• CI/CD experience with GitHub actions

 

Backend Developers:

• Software development experience, one of Python (preferred) or Node.JS/Typescript)
• Experience with Messaging architectures - RabbitMQ (preference) or Kafka
• Experience with docker-containers 
• Experience with Apache NiFi (valued but not necessary)
• Experience with designing or implementing horizontally scalable solutions
• Experience working with RESTful APIs
• CI/CD experience with GitHub actions
• Experience with Azure cloud

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 need to have:

Job Description:

- We are looking for a great Frontend developer who is proficient with Javascript and/or React.js to join us at the earliest.

- You will be entrusted with developing user interface components and implementing them using popular React.js workflows (Flux, Redux, etc.).

- You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure.
- Apply now if you love collaborative problem solving, sophisticated design, and ensure the quality is maintained.

Know your work:
- Responsible for the development of a new highly-responsive, web-based user interface.
- Construct visualizations that are able to depict vast amounts of data.
- Building reusable components and front-end libraries for future use.
- Translating designs and wireframes into high-quality code.
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
- Develop a flexible and well-structured front-end architecture, along with the APIs to support it.

What you need to apply:
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
- Thorough understanding of React.js and its core principles.
- Hands-on experience with React Native is an added advantage.
- Experience with popular React.js workflows (such as Flux or Redux).
- Familiarity with newer specifications of ECMAScript.
- Experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus.
- Familiarity with RESTful APIs.
- Knowledge of modern authorization mechanisms, such as JSON Web Token.
- Familiarity with modern front-end builds pipelines and tools.
- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
- Ability to understand business requirements and translate them into technical requirements.
- A knack for benchmarking and optimization.
- Familiarity with code versioning tools (Git, SVN, and Mercurial)

What you get:
- Amazing workplace and colleagues in the IT corridor of Bangalore
- Competitive salary at par with the best in the industry
- Immense exposure to new technologies

Notice Period & Location:
Notice Period: Immediately or within 2 Weeks
Location: Bangalore/Bengaluru or Pune

No of Positions: 10

Job Type: Full-time

Your Social Guy is a social media management company helping individuals as well as businesses with their social media needs.

The duration of this internship is 6 months. Since this is a Remote Desk Job so it won't be hard for the Interns to Manage time. They will get all the financial benefits which our norms allow. Additionally, Every month Mobile Recharge, Every month 1 movie ticket will be given to each intern.