11+ EMC GreenPlum Jobs in India
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consulting & implementation services in the area of Oil & Gas, Mining and Manufacturing Industry
Python- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Amazon Web Services (AWS)Senior MLOps Engineer
LLM Operations, Observability & Eval Infrastructure
📍 Mumbai (On-site) | Full-time | 5-7 years
About the Role:
Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.
We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.
This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.
The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.
The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.
A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.
Responsibilities:
Observability and Tracing
Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.
Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).
Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.
Evaluation Infrastructure as a Production System
Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.
Implement regression gates that block quality-degrading changes from shipping.
Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.
Model Lifecycle Management
Pin model versions, never "latest".
Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.
Maintain fallback chains across providers for graceful degradation or queueing during outages.
Track provider deprecation schedules and plan migrations ahead of forced cutoffs.
Cost Operations
Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.
Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.
Monitor prompt cache hit rates and quantify savings.
Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.
Prompt and Configuration Deployment
Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.
Reliability Engineering for Agent Runs
Agent runs are long, stateful, and failure-prone.
Own retry and resume semantics so a run that fails mid-way does not restart from scratch.
Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.
SLO Ownership and Incident Response
Define and track SLOs for agent run latency and completion rates.
Lead incident response when SLOs are breached.
Write postmortems.
Surface reliability risks proactively before they reach users.
Safety and Compliance Operations
Run the moderation pipeline (prompt and output classification) in production.
Monitor for abuse patterns and own incident response when the agent misbehaves at scale.
Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.
AI-Assisted Engineering Discipline
Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.
Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.
Requirements:
Hands-on production ownership of LLM-backed systems in operation (mandatory).
Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.
Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).
POCs and lab work do not qualify.
5+ years of overall engineering experience
With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.
This is not an ML science role.
A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.
Observability and Tracing Depth
Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.
Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.
Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.
CI/CD and Quality Gate Experience
Strong with GitHub Actions or GitLab CI.
Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.
Cost Management and Attribution for Usage-Based Services
Experience owning cost attribution for cloud API spend or equivalent.
Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.
Reliability Engineering for Long-Running, Stateful Workloads
Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.
Comfortable defining SLOs and being accountable for them on production systems.
Multi-Provider API Management
Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.
Infrastructure as Code and Deployment Automation
Hands-on with Terraform or Pulumi and Docker.
AWS working knowledge (EC2, S3, IAM, EKS or ECS).
Strong with CI/CD for deploying services and configuration changes safely.
Nice to Have
- Experience with prompt A/B testing or staged rollout infrastructure
- Workflow orchestration (BullMQ, Temporal, Celery)
- Content moderation pipeline experience
- Data residency and compliance requirements for AI systems
- Kubernetes (EKS) in production
- AWS certifications
Job description
Job Profile:
1. Develop and Maintain proper interaction and reputation with the clients
2. Understand the business needs of the Clients
3. Convince them to invest in new Projects with the Company
4. Outbound process (Website selling)
5. B2B Process
6. Unlimited incentives
Requirement:
Candidates with experience in a website-selling campaign
Open to working in a full-time Day shift job
Only experienced candidates can apply for this job opening.
Fixed Salary - 10% to 20% hike on last drawn salary.
Monthly Sales Incentives
Shift Timing:(10:00pm-6:30am)
6 Days working.
SUNDAY Fixed OFF
FRESHERS are welcome
Roles and Responsibilities –
The position offered is of a Senior Product Manager.
1. Business Vision:
a. Understanding the vision and related requirements of the product.
b. Evaluate the vision against metrics like pricing, risk, revenue etc.
c. Evaluate the business metrics associated.
d. Converting the business vision into a product/product feature which achieves the decided metrics.
e. Building a product roadmap in relevance to business objectives.
2. GTM Strategies:
a. Making B-Plan for Go to market strategies.
b. Evaluating numbers associated to the product and hence the pricing and revenue.
c. Create user personas w.r.t STP of the module.
3. New Product/Module Development:
a. Creating Wireframes
b. Defining details and flows of the module.
c. Defining the UX of the module.
d. Identifying the corner cases and handling them through alternatives.
e. Measuring the impact on existing flows.
4. Enhancements:
a. Creating features to empower the existing systems against defined metrics.
b. Wireframing, User flow diagrams and UX definition.
c. Identifying the corner cases and handling them through alternatives.
d. Measuring the impact on existing flows.
5. Documentation:
a. Translating the requirements and cases in Product Requirement Documents.
b. Creating User Stories.
6. Report Tracking and Decision Making:
a. Track whatever is build.
b. Measure the performance of the existing system.
c. Evaluate the quantum of impact to the metrics, defined against a feature.
By and Large, whatever happens in the product, for the product, and across the product is taken care of by the Product Manager and team.
Desired Abilities and Aptitude
1. A problem-solver who accepts every challenge as an opportunity to learn more and a window of improvement.
2. A persistent brain, that keeps up the struggle until the issue is resolved.
3. Excellent problem-solving, organizational and analytical skills, with the ability to evolve product strategy based on research, data and industry trends.
4. Thrives in a cross-functional and fast paced environment.
5. Strong communication skills.
6. Ready to roll up sleeves to spend time designing UI, analyzing data, setting up quality processes and guardrails.
7. A candidate who loves playing around data. One who depends on data for building up his product.
8. Basic knowledge of platforms like Google Analytics and Firebase is a great plus.
Above all, one must be sharp and possess immense zeal of making a world-class product and do whatever it takes for it. A product is the baby of a product manager and each member of our product team must feel the same way and act accordingly.
What we assure you other than your CTC
1. A super healthy learning environment where you would have the liberty of putting up your ideas and experiment around them.
2. A classic niche business segment where you would be having the opportunity of playing around the most trendy ideas, a product can have.
3. Working with an advanced technology product that would never restrict you as a product manager in terms of introducing a functionality.
4. A super active, energetic and super friendly tech team that not only develop awesome products but also helps you with deep technical architecture as and when needed.
Excited? You would feel this excitement each day working for Netway India, AstroYogi. We are growing each day and we need you to ensure it becomes higher each day.
- Ability to work independently under minimal direction with strong work ethic
- Team handling experience is a must
Responsibilities and Duties
- Contributing to product strategy and defining what we should build and why
- Conducting research, performing measurements and determining the value of features in the pipeline to determine selection and prioritization
- Reviewing product analytics to arrive at relevant business conclusions concerning various features
- Optimizing flows of features to increase transaction completion rates
- Competition review, comparison and analysis
- Guide user experience design planning and delivery with the UX team
- Write product requirements and user stories for features and enhancements
Qualifications and Skills –
- MBA/ B.Tech with at least 3- 4 years of Product Management experience.
- Good understanding of Google Analytics, Google Admob & Adsense also preferred.
- Good understanding of UI and UX best practices.
- E-commerce/ Startup experience preferred
Candidates from E-commerce/ Startup experience preferred
Looking for immediate joiners in Business development field sales for Hyderabad region.
Experience in Saas industry is added as extra advantage.
•Ensures that products conform to business requirements/company policies, software quality standards, and established procedures
•Confirms that testable systems are specified, designed and implemented
•Designs, documents and implements procedures and techniques that are consistent with departmental SQA Methodology for analyzing, testing, and evaluating the risk (software & business), accuracy, completeness, internal integrity/consistency, testability and overall quality of business systems and SDLC processes
•Creates and maintains SQA deliverables including test plans, test cases, test data, project test progress and release reports, application turnover documents and test schedules
•Recommends and assists in corrective actions taken at all stages of product life
•Submits and tracks production (maintenance) and release issues in their respective systems
Postman
PostgreSQLRole Description
Who are WE?
Product photography for Furniture, Beds, Linens, Curtains, Carpets, Blinds, Sofa's & all other home furnishings don't have to be expensive and time consuming. Live Furnish makes it easy to create stunning 3D product images that boost conversion rates and sales with our easy to use platform. No more wasted time scheduling, creating scenes, and getting just the right lighting when you can do it all from your desk.
-Save 70% on costs creating 3D photorealistic product shots
-Save 80% on shoots and production time
-Get massive lift on conversion rates from 55% - to over 500%
-Sell pre-orders from prototypes before manufacturing
Live Furnish empowers you to produce high-quality 3D images with a few hours instead of days and weeks with studios. Trusted by over 100 leading manufacturers and retailers.
We have raised a total of $7.5M in funding rounds. Our latest funding was raised on Dec 9, 2021 from a Seed & Series A Funding round. We are backed by Investors - Venture South, Launch, CEAS Investments, Mercato Partners, Parkwest LLC.
Headquarters
Winston-Salem, North Carolina
Learn more, log onto our website
www.livefurnish.com
Designation: Automation Tester
Job Location: Delhi (Hybrid Mode)
Job Summary:
An expert within the testing center excellence, the test automation engineer who will be responsible for automating the test effort as much as possible. You will be suggesting ideas for automated software test procedures. Besides, you will be highlighting problem areas and tracking bugs that hinder software installation. If you have a strong technical background and can streamline all testing activities, then we would love to have you on board.
What do we expect you to do?
- Develop testing strategy, plans, estimates and schedule to support projects and product releases
- Designing and developing test automation scripts.
- Participate in all reviews necessary to ensure quality in the product - requirements, design, status and code
- Researching issues in software through testing.
- Collaborating with Software Developers to develop solutions and fixing bugs.
- Keeping updated with the latest industry developments.
- Analyze user stories and/use cases/requirements for validity and feasibility
- Execute all levels of testing
What are We looking for?
- 3-5 years of experience in testing with prior experience in a product organization
- Prior experience working with a product start up company is required
- BE/BTECH/MCA/BCA Degree holder
- Proficiency in one or more general purpose programming languages (e.g. Java, JavaScript, Python)
- Must have hands on experience in test automation tools/frameworks -Selenium
- Proficient in MySQL, PostgreSQL, and NoSQL (MongoDb) environments
- Working knowledge API and Services testing (RestAssured, Karate, SOAP UI, Postman or similar tools)
- Experience in Mobile App Automation for iOS and Android Apps using Appium, Detox or any other automation tools like Espresso etc.
- Must have testing experience on windows, mac, web, iOS platform
- Good understanding of SDLC
- Analytical abilities Logical thinking Awareness of latest technologies and trends
- Ability to write test cases and scenarios based on the specifications
What do we Offer?
- Build products from scratch and be part of decision making with the TOP authorities
- Freedom to explore and implement your own ideas
- Hybrid Work Mode
- Open culture with flexible timings
- Weekend parties, Worcations with teams
- Learning, Growth & Onsite Opportunities
- Work with a Team who is a Family
Java- Expertise in software design and development.
- Proficiency with at least one Object Oriented language(e. g. Java)
- Experience with building high-performance, highly available and scalable distributed systems
- Experience with API Design, ability to architect and implement an intuitive customer and third-party integration story.
NodeJS (Node.js)Amazon Web Services (AWS)
MongoDB- 2+ years of experience with Node.js
- Expertise in Typescript, AWS, Firebase, MongoDB, and Express
You will be bringing:
- Hands-on experience in writing applications using Node.js (including Socket.io and Express or similar)
- Excellent knowledge of a few of the available databases such as MySQL, MongoDB, etc.
- Proficiency in application deployment on Linux or Ubuntu environments
- Proficiency in JavaScript languages like React and/or Angular, along with a comprehensive experience in open-source frameworks
- Experience in server-client architecture project(s)
- Ability to prioritize in a chaotic and ambiguous environment
- An open, growth mindset when giving and receiving feedback
Ensures the Daily/Weekly/Monthly reporting are sent timely
Ensure Accuracy of data reported
Updates and analyzes monthly billing hours reports
Prepares daily status report to keep a check on internal targets
Review the collated data to drive inferences and trends to improve process performance.
Analyzes productivity and inquires into the causes of slippages.
Attends weekly review meetings with clients on various reports.
Customizes reports as required by clients.
Audits all MI prepared by the Executives
Ability to make things with in the TAT and SLA
Ensure data protection for all MI
Ensure controlled access levels for all stakeholders accessing the MI Folder
Hand of experience in advance Excel
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