PostgreSQLDatabase Architect & Engineer
Work Mode - Work from Home
Experience Required - 5+ Years
Immediate joiners are preferred.
Job description
Seeking a seasoned Database Architect with expertise in Oracle and/or PostgreSQL, system wide migrations, and complex query creation and optimization. The ideal candidate should have at least 5 years of experience in database management and be able to work independently. Key responsibilities include defining a schema for a new product, managing and maintaining databases, planning and executing system wide migrations, creating and optimizing complex queries, ensuring the security and integrity of the database, and providing training and support to team members. This role requires excellent communication and problem-solving skills, as well as a strong understanding of database architecture, design, and security.
Responsibilities:
- Design, implement, and maintain Oracle and PostgreSQL databases
- Expert in ETL tools, data integration, and migration processes
- Create and optimize complex SQL queries for performance and efficiency
- Develop and refine database functions, procedures, and packages
- Analyze and troubleshoot database performance issues, implementing tuning solutions
- Ensure database architecture aligns with application needs and best practices
- Collaborate with development teams on data models and database design
- Provide documentation, training and support to other team members
- Assure quality, security and compliance requirements are met as part of projects
delivery
Qualifications:
- 5+ years of experience with Oracle and/or PostgreSQL
- Experience in designing database schemas from scratch
- Experience with documentation such as ERDs and DB Relations
- Experience with system wide migrations
- Strong understanding of database architecture and design
- Experience with complex query creation and optimization
- Experience with performance tuning and troubleshooting
- Strong understanding of database security
- Experience with database backup and recovery
- Excellent communication and problem-solving skills
- Bachelor's degree in Computer Science or related field is a plus
- Experience in development of SaaS enterprise scale product
- Experience in working with globally distributed teams following Agile methodology
and Scrum.
- Experience in working with modern CI/CD tools and related ecosystem of
applications - uDeploy, Jenkins, Artifactory, Maven etc.
- Experience using source control tools like Git, SVN etc.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Preparing Business Case for new projects in alignment with BU Head and Business
Solutioning Team.
Developing the commercial strategy and the commercial direction of projects
Monitoring the progress of projects
Review use cases and other technical documents to ensure business requirements are
adequately reflected in planning documents.
Develop MIS aligned to critical performance metrics identified.
Oversee the AOP exercise of the Region/ BU and monitor actual vs. AOP
Works closely within the unit and with business partners to identify and maximize
opportunities and to improve products and services.
Assist Regional Head in developing tactical and strategic products, services and/or
programs to support the region’s goals.
Experience & attributes
5-7 years’ experience in business analysis and project management with multinational
corporations or Big 4 accounting firms. Experience in Market Intelligence, Competitive
and Corporate Intelligence preferred.
Prior experience in telecom sector most preferred.
Strong Financial modelling skills with ability to analyse and assess the financial viability
of long-term projects using financial metrics.
Possess excellent problem-solving abilities, ability to develop and analysis business
plans.
Knowledge and understanding of project management principles, practices, process and
techniques including the ability to gather clear business requirements.
Proven experience working with MS Office suite and developing and maintaining various
analyses and reporting tools.
The Head - Artificial Intelligence & Embedded Systems plays a pivotal role in leading the labs strategic vision and operational excellence, fostering a culture of innovation and "learning by doing" among students. This individual is responsible for setting the labs strategic direction, managing a team of stream leaders, and ensuring the labs success in bridging the gap between academia and industry. As a thought leader and brand ambassador, the Head of the lab promotes the labs focus areas both internally and externally, embodying the qualities of leadership and innovation that inspire students and staff alike.
Key Responsibilities:
Vision and Strategy:
Develop and communicate a clear vision for the Innovation Labs, aligning with the institution’s strategic objectives.
Set strategic goals for the lab, including defining key areas of focus, innovation strategies, and research priorities.
Ensure the labs activities contribute to the broader academic and research missions of the institution.
Leadership and Management:
Lead and manage a team of stream leaders, fostering an environment of collaboration, innovation, and excellence.
Drive a culture of "learning by doing", encouraging students and mentors to engage in hands-on, experiential learning. Impact key outcomes like placements, hackathon wins, patents etc.
Oversee the labs operations, ensuring resources are effectively allocated and managed to support its goals.
Ensure that the academia-innovation labs gap is bridged.
Innovation Lab - Industry Interface:
Build and maintain strong relationships with industry partners, facilitating collaborations that enhance the labs research and innovation projects.
Serve as a key liaison between the lab and academic departments, promoting interdisciplinary industry relevant research and learning opportunities.
Lead initiatives to secure funding, sponsorship, and partnerships that support the labs activities and growth.
Brand Ambassador and Thought Leadership:
Act as a brand ambassador and thought leader, representing the Innovation Labs at conferences, seminars, and public forums.
Promote the labs achievements and projects through various channels, enhancing its reputation and visibility.
Foster a network of alumni, industry leaders, and academic peers to support and engage
with the labs work.
Mentorship and Role Modeling:
Serve as a mentor and role model for students and mentors, inspiring them to pursue innovation and excellence.
Encourage the development of leadership skills among lab members, particularly stream leaders and emerging talents.
Support a learning environment that values diversity, inclusivity, and personal growth.
Skills and Qualifications:
Advanced degree in a relevant field (e.g., Engineering, Computer Science, Business
Administration) or equivalent experience in innovation management.
Proven leadership experience in managing research or innovation labs, particularly in an academic or similar setting.
Deep technical expertise in AI/ML and/or embedded systems with a passion for continuous learning.
Strong strategic thinking and planning skills, with the ability to translate vision into actionable plans.
Excellent relationship-building skills, with experience in academia-industry partnerships.
Demonstrated success in securing funding, sponsorships, or partnerships.
Exceptional communication and public speaking skills, capable of engaging a wide range of audiences.
Deep understanding of the latest trends and technologies in areas relevant to the labs focus.
Job Location: Coimbatore, Tamil Nadu
Pay Scale: As per norms
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Organization : TECHWAVE (http://www.techwave.net/">http://www.techwave.net/)
Requirement : SAFe Scrum Master
Experience : 8+ Years
Job type : Permanent
Location : Hyderabad
Role Requirements
- Coaching the scrum team and organisation on how to use scaled agile practices and values with a preference for use of the Scale Agile Framework (SAFe).
- Facilitating scaled agile ceremonies and coaching teams on best-practises, supporting with advancement and improvement of scaled agile within the organisation.
- Guiding the scrum team on self-organisation and cross-functionality.
- Guides and coaches the scrum team on how to use agile practices and principles to deliver high quality products and services to our customers.
- Ensures teams attain a high-performance level in the practice of scrum delivery by recognising areas of strength and improvement, employing appropriate coaching and development techniques.
- Responsible for ensuring scrum is understood and the team adheres to Scrum theory, practice, and guidelines.
- Coaches the scrum team in self-organisation, cross-functional skillset, domain knowledge and communicates effectively, both internally and externally working within the scrum team.
- Works with the scrum Team, as well as internal and external stakeholders, to influence and drive decision making and support organisational project or product teams.
- Resolves team impediments with other scrum masters to increase the effectiveness of the application of Scrum in the organization.
- Works with Agile coaches and other scrum masters to grow within the role.
- Contributes to the advancement and improvement of agile practices within the organisation.
- Facilitates and supports all scrum events: sprint planning, daily scrum, sprint review, and sprint retrospective.
- Acts as a leader who coaches and supports agile teams assigned to ongoing change delivery and broader department initiatives, business and corporate initiatives.
Technical Experience
- Demonstrable experience within a scrum master role and familiarity with a payment’s processing institution.
- Knowledge of a scaled agile framework (techniques and artifacts) and understanding of software development life cycle models.
- Proven experience with scum techniques such as at refinement, story splitting, estimation, velocity and retrospection.
- Adept at refinement, story splitting, estimation, velocity, retrospection, and other scrum techniques.
- Experience coaching organisations and scrum teams in an agile framework.
- Ability to establish and maintain strong relationships and work collaboratively with and through others.
- Experience with tools such as JIRA, SharePoint, and Confluence plus knowledge of SSDLC and agile / Lean methodologies, exemplifying and promoting associated values and principles.
- Experience in a highly analytical, results-oriented environment with cross-functional interactions.
- Strong collaboration and influence skills to effectively lead cross-functional teams to drive deliverables, projects, and engagements to completion.
- Strong experience of software testing lifecycle and techniques such as unit, integration, acceptance, regression test and the use of mocks and stubs.
- Ability to break down and solve complex problems and follow solutions through to completion.
- Ability to function autonomously, exercise sound decision-making skills, and serve as an advocate for business goals and objectives.
- Planning and problem solving with Product Management and Solution Delivery teams.
Education / Qualifications / Training
- Bachelor’s degree and 4 years of product or project development experience, or 3 years of project development experience on an agile team or an equivalent combination of education and work experience.
- Scaled Agile Scrum Master certification preferred.
- Demonstrated experience facilitating meetings at multiple levels of an organization and an understanding of facilitation techniques.
- Intermediate working knowledge of Microsoft Office applications, including but not limited to Outlook, Word, and Excel.
- Must have led teams of technical analysts, software developers and QA test analysts.
- More than comfortable in an ambiguous matrixed organisation.
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.
Swift
Objective C
iOS App Development● Apply computer science, engineering, and mathematical analysis concepts and principles in
the development of software applications.
● Work closely with cross-functional members of the organization to develop and evaluate new
features on exciting products.
● Support and participate in all phases of the software development life cycle, including
requirements analysis, design, implementation, integration, and testing.
● Participate in peer reviews, identify, track, and fix bugs.
● Design and development of professional business applications for the iOS platform.
● Working with external data sources/ APIs, unit-test code for robustness, including edge
cases, usability, and general reliability.
● Working on fixing bugs and improving application responsiveness, quality, and performance.
● Your leadership will help to continuously discover, evaluate, and implement new technologies
to improve development efficiency.
Core Skill Set:
1. Hands on experience with Objective C and Swift
2.Hands on experience with SQLite
Having hands on experience 2 years and beyond on building end to end ios applications Experience
with repository management tools like Git, Mercurial, etc Experience working with RESTful APIs,
third-party libraries and API, cloud message APIs and push notifications Solid understanding of
Apple’s design principles, design framework, design patterns and interface guidelines sqlite / core
data / offline storage / multithreading / coreLocation / MVVM VIPER / Objective-c / swift / alamofire
/ unit testing / memory management
What is in the store for you?
● Opportunity to be a part of a company that is doing something really amazing & redefining
stuff.
● Opportunity to work on cutting edge technologies and products that are redefining how the
home services industry operates in the North American market.
● Making a splash in a multi-billion dollar SaaS industry
● Learning & Growing far beyond your current horizon
● A start-up culture that you'd cherish forever in your work life
● Shadowing and training experiences with knowledgeable professionals
If you think, you are a good fit. We would love to talk to you!!
Angular (2+)
AngularJS (1.x)Title :- Frontend Angular Developer
**Candidate should be fine with deployment at client location- CHANDIGARH
-
4 to 7 years of experience in Frontend technologies
-
Deep knowledge of Angular 7/8/9/10 practices and commonly used modules based on extensive work experience
-
Proven experience implementing front-end and back-end JavaScript applications.
-
Hands-on Experience in designing, coding, and delivery of UI Solutions based on Angular, jQuery, JSON, JSONP
-
Proficient in CSS, HTML, and writing cross-browser compatible code
-
Creating self-contained, reusable, and testable modules and components
-
Must have experience of working with .NET API integration.
-
Must have good communication skills
Angular (2+)
HTML/CSSAngularJS (1.x)Experience: 6+ Years
Essential Skills & Experience
- Must to have minimum of 3 years of experience in using Angular 2+ and above versions.
- Develop modern software applications and working with the team to solution definition and guide teams through execution and implementation
- Ensuring high performance on mobile and desktop
- Must have experience for writing tested, idiomatic, and documented Angular, JavaScript, HTML and CSS
- Must have knowledge of OOP concepts, industry best practices and architecture designs.
- Must have good understanding of web technology/enterprise level applications.
- 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
- Experience should include structured source code management using SVN or GIT and build using MAVEN/Grunt.
- Good to have backend experience in any one of the backend technologies mentioned below:
- Java with Spring boot.
- PHP
- Need to have good experience in Web application designing.
- Good to have experience in Agile methodology.
Nice to Have
- Experience with web servers like Nginx or NodeJS
- Basic awareness of cloud orchestration frameworks like Kubernetes/Docker
- Understanding of Unit Testing Frameworks
BEHAVIORAL SKILLS
- Self-motivated and a Quick Learner
- Ability to consistently perform and meet deadlines
- Attention to detail and follow-through
- A good understanding of customer satisfaction
- Ability to work effectively in a team as well as in an individual environment
- Excellent written and verbal communication skills
Job Description
POSITION - Tally Developer
QUALIFICATION - Graduate
WORK EXPERIENCE - 3 - 5+ years
LOCATION - Gurgaon
Job Description:
- Candidate with minimum 3 to 5 years of strong experience in Tally Customization Development
- ERP9 TDL program development & implementation
- ERP9 Technical support
- Manage Tally Customization & Tally Integration requirements
Required Skills:
- Tally Definition Language, Excel, XML and Tally
- Tally Integration with other systems / database
- Good knowledge of Finance and accounting with commerce background.
- Good communication skills and customer handling experience
- Experience with other development languages (Asp.Net, MVC, HTML, SQL) is added advantage.
iOS App DevelopmentObjective CSwiftHere we will provide 3 months of training.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon