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CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)
Below are the job Details :-
Experience 10 to 18 years
Mandatory skills –
- data migration,
- data flow
The ideal candidate for this role will have the below experience and qualifications:
- Experience of building a range of Services in a Cloud Service provider (ideally GCP)
- Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies.
- Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
- Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion
- Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.
- Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)
- Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.
- Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform
- Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala
- Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes
- Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security
- Financial experience is preferred
- Ability to learn new technologies and rapidly prototype newer concepts
- Top-down thinker, excellent communicator, and great problem solver
Exp:- 10 to 18 years
Location:- Pune
Candidate must have experience in below.
- GCP Data Platform
- Data Processing:- Data Flow, Data Prep, Data Fusion
- Data Storage:- Big Query, Cloud Sql,
- Pub Sub, GCS Bucket
NodeJS (Node.js)
MongoDB
Express● Building and maintaining micro services.
● Develop new features and improve existing features of the application.
● Coding, Implementing, Unit Testing and Documenting Typescript and Javascript based services.
● Design, build, and maintain efficient, reusable, and reliable code.
● Code reviews and ensuring adherence to software development standards.
● Contribute to team and organizational improvements in process and infrastructure.
● Participating in requirements gathering and functional specification activities.
● Resolving and helping to mitigate production issues.
What you need to be successful
● Has proven himself as a solid individual contributor and has some initial management ability
● Understands the culture and upholds it
● Well respected with the team
● Looking to grow more as a manager than as an engineer
● Split time b/w hands-on technical work and people management of a small team
● Be a role model for the people in your team
● Responsible for team mentorship, technical planning, resource allocation & project delivery
● Build solid working relationships with counterparts outside engineering
● If we shortlist you for a lead role, then you'll have to mentor SDE-1 towards their SDE-2 journey.
● Progress up to manager in 2-3 years
● Strong Data Structure and Algorithms
● Experience of building micro services architectures, developing RESTful services, continuous integration, unit and integration testing.
● Proficient with Express, Jest, Sinon and other Javascript frameworks apart from
RDBMS and NoSQL databases - PostgreSQL, MongoDB
● Gauge or other BDD frameworks and experience in Fintech would be preferred.
● Fintech experience - preferred
Position: Travel Sales Consultant
Location: Saket, New Delhi
Experience: 1 - 2 years (Freshers can also apply)
Minimum Educational Qualification: Graduation
Employment Type: Full-time
Responsibilities And Duties
Connect with our prospective clients both over the phone, email, and chat.
Ask the right questions to ascertain the needs of each unique traveler
Recommend and sell the right trip to the client based on their needs including any extra services that may enhance their experience.
Ensure the use of correct booking processes and procedures to minimize risk and reduce error rates.
Act at all times with the purpose of providing a life-changing experience
Things you will need to bring to begin your adventure with us:
Sales skills - You'll have that edge when it comes to sales and understanding how to provide amazing customer service. You'll be target-driven, and up for any challenge.
Travel experience - You'll be a globe trotter who has an incurable case of the travel bug.
Academic achievements - You'll have been a high flyer with academic accomplishments.
Career ambition - You'll love the thought of a challenging career that can take you places.
Benefits
Unlimited Earnings - You'll work on a fixed base salary plus uncapped commission; the more you sell, the more you'll earn! First-year average earnings are around 1 Million with potential for year-upon-year growth as you build your client base.
Training and development at our own in-house Learning Centre - We will provide you with all the tools you need to get up and running, as well as ongoing training to further develop your skills and knowledge.
Career development and advancement opportunities.
Unbeatable company culture.
Skills:- Inside Sales, Sales and Business Development
Machine Learning (ML)
Data Science
PythonCarsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.
Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform.
You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.
Job Descriptions
- Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
- Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing.
- Identify, prioritize, and design testing opportunities that will inform algorithm enhancements.
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
- Unlock insights by analyzing large amounts of complex website traffic and transactional data.
- Implement analytical models into production by collaborating with data analytics engineers.
Technical Requirements
- Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
- Machine Learning / Data Science Certification
Experience & Education
- Bachelor’s in Engineering / Master’s in Data Science / Postgraduate Certificate in Data Science.
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptAbout Us
Wednesday is a technology consulting and engineering firm based in Pune. We specialise in helping digital-first businesses solve complex engineering problems. Our expertise lies in data engineering, applied AI, and app development. We offer our expertise through our services: Launch, Catalyse, Amplify, and Control.
We're a passionate bunch of people who take their work seriously. We deeply care about each other and are united by the cause of building teams that delivery great digital products & experiences.
Job Description
Wednesday is a technology consulting and engineering firm based in Pune. We specialise in helping digital-first businesses solve complex engineering problems. Our expertise lies in data engineering, applied AI, and app development. We offer our expertise through our services: Launch, Catalyse, Amplify, and Control.
We're a passionate bunch of people who take their work seriously. We deeply care about each other and are united by the cause of building teams that delivery great digital products & experiences
Wednesday works with customers with a high amount of autonomy. We own problem statements and work with them to provide simple solutions to complex and challenging problems. You will be responsible for front-end architecture, delivery and innovation across all pods at Wednesday.
Key Responsibilities:
- Collaborate with UI/UX designers to develop responsive web applications.
- Build, test, and deploy frontend interfaces using React.js.
- Work on fullstack development, integrating frontend with backend (Node.js).
- Optimize applications for performance and scalability.
- Troubleshoot and resolve issues in both frontend and backend.
Skills Required:
- Proficiency in React.js, HTML, CSS, JavaScript.
- Basic knowledge of backend technologies (Node.js, Express.js).
- Familiarity with RESTful APIs and databases (MongoDB or MySQL).
- Version control (Git/GitHub).
- Strong problem-solving skills and teamwork.
Nice to Have:
- Familiarity with cloud services (AWS, Azure).
- Building developer libraries and SDKs.
Benefits
- Mentorship: Work next to some of the best engineers and designers.
- Freedom: An environment where you get to practice your craft. No micromanagement.
- Comprehensive healthcare: Healthcare for you and your family.
- Growth: A tailor-made program to help you achieve your career goals. Click here to read more about our career ladder.
- A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.
MongoDBRequiredSkills:
• Minimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models. • 2-3 years of experience inExtraction, Transformation and Loading ETLwork using data migration tools like Talend, Informatica, Datastage, etc. • 4-6 years of experience as a database developerinOracle, MS SQLor another enterprise database with a focus on building data integration process • Candidate should haveanyNoSqltechnology exposure preferably MongoDB. • Experience in processing large data volumes indicated by experience with BigDataplatforms (Teradata, Netezza, Vertica or Cloudera, Hortonworks, SAP HANA, Cassandra, etc.). • Understanding of data warehousing concepts and decision support systems.
• Ability to deal with sensitive and confidential material and adhere to worldwide data security and • Experience writing documentation for design and feature requirements. • Experience developing data-intensive applications on cloud-based architectures and infrastructures such as AWS, Azure etc. • Excellent communication and collaboration skills.
-
Experience as a SAP Consultant with at least one end-to-end SAP implementation project.
-
Hands on experience in the requirements gathering/ fit-gap, design/blueprinting and configuration/customization phase of SAP transformation programs.
-
Deep understanding of business processes as well as good knowledge of technical issues in the area of financial modules.
-
Very good command of English.
-
Team management and project management skills as an asset.
What would you be doing?
- Bring our brand to life across multiple channels, by connecting with our customers and building content & creatives that deeply resonate with them.
- Strategize with channel SM managers, and accelerate the growth of channels by 10x.
- Creating engaging and innovative viral content which engages audiences and promotes brand-focused messages.
- Brainstorm and devise unique social media strategies and experiments to gain new audiences and grow exponentially.
- Dig into dashboards and fish out insights that help unravel our audience and their behaviour.
- Imagine, iterate, edit, publish and share engaging content daily across all our social media channels.
- Influencing us with your ideas is just the first step. Our competition is obviously cut-throat, so watch them like a hawk.
- Track our brand reputation online by listening, monitoring and obviously jumping in to manage our rep.
- Proactively manage relationships with various influencers and brands
- Consume a plethora of content from different brands and influencers across the spectrum and stay updated with everything social.
Superpowers you’ll need to be a success in this role
- Drive brand awareness, engagement and positive brand sentiment online.
- Conceptualise crazy yet effective social media campaigns, and push good creatives to great
- Slip into our customers' shoes and intuitively make decisions aligned with their social media consumption patterns.
- Solve problems; develop & execute objectives with minimal direction.
- Master’s degree in marketing, advertising, or mass communication (preferably from a premier institute).
- 7-8 years of experience in social media management/leadership, preferably in related industries (gaming, media & entertainment, apps, startups).
What would you get from GetMega?
- The rare opportunity to join one of the hottest Indian startups with multi-million dollar funding. We are not just another gaming studio but are creating the largest skilling platform in the world.
- Above market compensation in Cash. We believe to hire the top 100 talents of the country in any field (tech/product/design/brand), we need to be a paymaster. Obvious sweet perks like daily catered breakfasts and lunches, endless coffee, and dry snacks. We believe in enabling our employees by removing trivial tasks like packing breakfast/ordering lunch/going out for coffee etc.
- Swanky custom-built office space. It's a fact that any individual spends a major portion of their lives in the office. There's no reason to cut corners in providing the best office space ever.
- Reimbursements. The company will reimburse any expenses made by an employee to reach our goals.
- We are open to giving out any benefits which will further empower our employees to create the Mega which we collectively envision
Python
Kubernetes
DockerYears of Experience – 2-3 years
Location – Flexible (Pune/Jaipur Preferred), India
Position Summary
At Clarista.io, we are driven to create a connected data world for enterprises, empowering their employees with the information they need to compete in the digital economy. Information is power, but only if it can be harnessed by people.
Clarista turns current enterprise data silos into a ‘Live Data Network’, easy to use, always available, with flexibility to create any analytics with controls to ensure quality and security of the information
Clarista is designed with business teams in mind, hence ensuring performance with large datasets and a superior user experience are critical to the success of the product
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable product capabilities, data modeling, data queries for UI functionality, data processing for client specific needs and API development for both back-end and front-end data interfaces.
• You will build real-time monitoring dashboards and alerting systems.
• You will integrate our product with other data products through APIs
• You will partner with other team members in understanding the functional / nonfunctional\ business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions
Who you are
• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data federation and distributed architectures
• Excellent Python programming skills. Familiarity with Scala and Java are highly preferred
• Strong knowledge and experience in modern and distributed data stack
components such as the Spark, Hive, airflow, Kubernetes, docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Big Data processing and performance optimization
• Should know how to write modular and optimized code.
• Should have good knowledge around error handling.
• Fair understanding of responsive design and cross-browser compatibility issues.
• Experience versioning control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.
Good to have some exposure to
• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors
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