(Hadoop, HDFS, Kafka, Spark, Hive)
Overall Experience - 8 to 12 years
Relevant exp on Big data - 3+ years in above
Salary: Max up-to 20LPA
Job location - Chennai / Bangalore /
Notice Period - Immediate joiner / 15-to-20-day Max
The Responsibilities of The Senior Data Engineer Are:
- Requirements gathering and assessment
- Breakdown complexity and translate requirements to specification artifacts and story boards to build towards, using a test-driven approach
- Engineer scalable data pipelines using big data technologies including but not limited to Hadoop, HDFS, Kafka, HBase, Elastic
- Implement the pipelines using execution frameworks including but not limited to MapReduce, Spark, Hive, using Java/Scala/Python for application design.
- Mentoring juniors in a dynamic team setting
- Manage stakeholders with proactive communication upholding TheDataTeam's brand and values
A Candidate Must Have the Following Skills:
- Strong problem-solving ability
- Excellent software design and implementation ability
- Exposure and commitment to agile methodologies
- Detail oriented with willingness to proactively own software tasks as well as management tasks, and see them to completion with minimal guidance
- Minimum 8 years of experience
- Should have experience in full life-cycle of one big data application
- Strong understanding of various storage formats (ORC/Parquet/Avro)
- Should have hands on experience in one of the Hadoop distributions (Hortoworks/Cloudera/MapR)
- Experience in at least one cloud environment (GCP/AWS/Azure)
- Should be well versed with at least one database (MySQL/Oracle/MongoDB/Postgres)
- Bachelor's in Computer Science, and preferably, a Masters as well - Should have good code review and debugging skills
Additional skills (Good to have):
- Experience in Containerization (docker/Heroku)
- Exposure to microservices
- Exposure to DevOps practices - Experience in Performance tuning of big data applications
Shubham Vishwakarma
Full Stack Developer - Averlon
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Position Overview The Sales Development Representative is the initial interface between the Company's Customers/Prospects and Sales team. The SDR should be able to generate qualified leads for the sales team to pursue, through different outreach methods, including social (LinkedIn). What You’ll Be Doing ✓ Generate Qualified Sales Opportunities and Pipeline for Sales team. ✓ Manage territories and account list with high degree of ownership. ✓ Ability to manage and execute daily Outbound calling and prospecting KPI’s. ✓ Account and Prospect research to map relevant stakeholders, for quality engagements and follow-ups. ✓ Learn from existing SDR’s on market potential and work on developing market base. ✓ Demonstrate experience in creating simple, precise pitch for Calls and Emails and LinkedIn InMail. ✓ Leverage AI-powered sales and marketing tools to enhance prospect research, lead qualification, personalized outreach, and pipeline generation. Use AI to improve productivity, messaging quality, and conversion rates across email, LinkedIn, and calling campaigns. What You Bring to the Table ✓ Have demonstrated engaging with C-level and VP-level connects for SaaS and ERP Software companies. ✓ Proven track record of generating consistent pipeline against monthly, quarterly and annual targets. ✓ Able to communicate clearly and convey necessary information effectively in English and a local language. ✓ Skilful Objection handling on calls, promote/sell ideas persuasively, and close transactions with mutually beneficial results. ✓ Experience working with sales, marketing and product team to understand and convey product value-add, benefits and outcomes to prospects/customers. ✓ Possesses strong organizational and time management skills, driving tasks to completion. ✓ Experience working with tools like HubSpot, Salesforce, Sales Navigator, Lusha, ZoomInfo, Outreach. ✓ Able to constructively work under stress and pressure when faced with high workloads and deadlines. ✓ Able to maintain and promote social, ethical, and organizational standards in internal collaboration and external business activities. ✓ Able to work independently with minimum supervision. ✓ Able to maintain confidentiality of sensitive information. ✓ Hands-on experience using AI tools for sales and marketing activities such as prospect identification, account research, personalized content creation, email drafting, and outreach automation. ✓ Familiarity with AI-enabled platforms such as OpenAI (ChatGPT), HubSpot AI features, Salesforce Einstein, Apollo.io, Clay, or similar tools to improve prospecting efficiency and campaign effectiveness. ✓ Ability to use AI-generated insights while maintaining accuracy, personalization, and professional judgment in customer communications. ✓ Experience prospecting into Supply Chain & Logistics head/decision makers is an added advantage. Skills Required: ✓ Excellent communication, stakeholder management, and leadership abilities. ✓ Problem-solving mindset with a strategic approach to delivery. ✓ Flexibility to work across different locations and cross-functional teams. ✓ Strong understanding of AI-driven sales and marketing workflows, with the ability to adopt emerging technologies to improve lead generation, outreach effectiveness, and sales productivity.
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CTC: up to 15 LPA
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- Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
- Deep expertise with microservices architectures and design patterns.
- Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
- Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
- Git source code repository and continuous integration tools.
- Proficient with debugging and profiling distributed systems.
React.js
Javascript
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Mandatory (Experience 1):Must have 2+ years of selling B2B SaaS.
Mandatory (Experience 2): Must have 2+ of experience of selling to enterprise clients OR to manufacturing industry OR selling FinTech product, SAP Product sales/Finance ERP solutions (like invoice processing, vendor management, Source to pay, Compliance solutions).
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Preferred Companies
Techtron Global, Webshark, Skynetiks Technologies, Datahikes, Nexivo, Sanver, NGenious Solutions, MindQuad Solutions Pvt. Ltd., Leaping Frog Solutions Pvt. Ltd., Direction Software LLP, Cloud Fronts Technologies, Astral Consulting, L&T Technology Services (LTTS), Providian Global Solutions Pvt Ltd, Arisoft, Mondial IT Consultants, Fractal Analytics, Rolta, Indus Net Technologies, Vyom Labs, CLOUDDBTECH, vPhrase, Kentrix, Intellicus
Job role: Executive - Accounts
- Location: Ghatkopar - Mumbai
- Salary: 5-6LPA
Major Responsibilities:
• Hands on experience and knowledge in Tally ERP and exploiting all the tool and features provided therein - Group Company, Inventories, Branch accountings, master maintenance, cost centers, generation of reports, export\import excel PDF, consolidation, auto repo generation.
• Proficient in MS excel and automation.
• Monthly GST return preparation and filings.
• Payroll accounting - net pay, deduction, salary advances and reco with GL.
• PF\ ESI Accounting and Reconciliations
• Cash management, accounting for bank transactions and monthly BRS
• Inter Company accounting and reconciliation
• Processing of payments to Vendors, consultants and staff. Creditors aging and ledger confirmations of the balances
AngularJS (1.x)
Angular (2+)React.js
NodeJS (Node.js)
MongoDB- Good understanding of Structured and Unstructured Databases (MySQL and MongoDB)
- Knowledge of Isomorphic Reactjs is An Added Advantage
- Experience in implementing following well-known React.js workflows such as Redux
- Ability to learn new technologies and languages quickly.
- Proficient Understanding of Code Versioning Tools, such as Git.
- Experience with Javascript Backend Framework like ExpressJS.
- Good Time-management Skills.
- Experience with Restful API Services.
- Delivering a complete front end application.
- Professional, precise communication skills.
- Deep knowledge of AngularJS/Node Js/React Js practices and commonly used modules based on extensive work experience.
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Data Science
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We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
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Ability to translate Wireframes and PSD Designs into functional web apps using HTML5, Express, React , Node.js, and Mongo
Binding of UI elements to JavaScript object models
Creating RESTful services with Node.js
Architect scalable web architectures
Work in a cross-functional team to deliver a complete user experience
Create Unit and Integration tests to ensure the quality of code
Be responsive to change requests and feature requests
Write code that is cross-platform and cross-device compatible
Ability to wear many hats and learn new technologies quickly
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Fluent knowledge of latest HTML/CSS standards and best practices
Working knowledge of Mongo and React
Working knowledge of Node.js and Express
Solid Understanding of HTTP protocol and how server-side code is processed on the client
Some experience with Photoshop or Sketch is a plus (creating sprites, optimizing, cutting or adjusting images)
Working knowledge of front end optimization and performance techniques
Obsession with lean, clean and organized front-end code
Cross-browser development and troubleshooting
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Able to handle multiple projects and competing deadlines
Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation
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Additional Skills & Competencies
Excellent communication and organizational skills
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Android Development
Kotlin
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We are a Bengaluru based young & vibrant team planning to on-board amazing talent, someone like you. Please go through the job description below, and connect with us if you deem we are a good fit in the next step of your career progression.
We value your time & hence have a stringent policy to communicate a decision within 7-10 days.
Your work at Finin:
As our primary android developer , you are expected to
- Build a light-weight, low latent Android applications with limited or no dependency on third-party modules.
- Build application logic & develop user facing features in Kotlin.
- Build reusable components & front-end libraries for future use, as and wherever needed.
- Translate designs & wireframes into high-quality code.
- Define front-end architecture, document, estimate scope, & deliver on time.
- Plan for new technology insertion & trade-offs in development.
Further, as any early stage start-up, we expect you to be comfortable wearing multiple hats, & be a proactive contributor towards building something truly remarkable.
Candidate profile:
- At least 4 years of professional experience building native projects for Android.
- Have at least two live projects.
- Practical knowledge of working with RESTful APIs, & version control tools such as git.
- Experience creating custom libraries.
- Proficiency in various software design patterns.
- Accountable & a proactive communicator.
- Has worked in agile or iterative environment. Can estimate scope & prioritise.
- Independent problem solver. Comfortable with ambiguity & fast pace start-up work culture.
Bonus points:
- If you have previous experience building technology for Finance products.
- If you have contributed in at least two stages of product development: MVP & Growth.
- If you are a do-er.
Responsibilities
- Assist in the formulation of strategies to build a lasting digital connection with consumers
- Plan and monitor the ongoing company presence on social media (Twitter, Facebook etc.)
- Launch optimized online adverts through Google Adwords, Facebook etc. to increase company and brand awareness
- Be actively involved in SEO efforts (keyword, image optimization etc.)
- Prepare online newsletters and promotional emails and organize their distribution through various channels
- Provide creative ideas for content marketing and update website
- Collaborate with designers to improve user experience
- Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics, WebTrends etc.)
- Acquire insight in online marketing trends and keep strategies up-to-date
- Maintain partnerships with media agencies and vendors
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon