11+ EMC GreenPlum Jobs in Delhi, NCR and Gurgaon | EMC GreenPlum Job openings in Delhi, NCR and Gurgaon

1. 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

Job Title: Accountant

Location: Gurgaon

Department: Finance & Accounts

Experience Required: 5–6 Years

Qualification: B.Com / M.Com

Working Language: English

Job Overview:

We are looking for a detail-oriented and experienced Accountant to join our Finance & Accounts team. The ideal candidate should have strong knowledge of accounting processes, statutory compliance, reconciliations, and financial documentation. The candidate must be capable of handling day-to-day accounting operations efficiently while ensuring accuracy and compliance with company policies and legal regulations.

Key Responsibilities:

• Manage Accounts Payable and Accounts Receivable activities

• Prepare creditors ageing reports and process vendor payments on time

• Perform Party Reconciliation and Bank Reconciliation regularly

• Maintain accurate accounting records and financial documentation

• Assist in monthly closing activities and preparation of MIS reports

• Ensure timely processing of invoices, payments, and receipts

• Handle bookkeeping and ledger maintenance

• Support GST, TDS, and other statutory compliance activities

• Coordinate with internal departments and external vendors regarding financial transactions

• Maintain proper records of bills, vouchers, and supporting documents

• Monitor outstanding balances and follow up for receivables

• Assist during internal and external audits

• Ensure compliance with accounting standards and company procedures

Required Skills:

• Strong knowledge of Accounts Payables & Receivables

• Good understanding of TDS, GST, and other legal compliances

• Hands-on experience in Party/Bank Reconciliation

• Good command of MS Office, especially Microsoft Excel

• Strong analytical and problem-solving skills

• Good communication and coordination abilities

• Attention to detail and accuracy in financial reporting

Preferred Candidate Profile:

• Candidate should be well-organized and able to handle multiple accounting tasks

• Ability to work independently and meet deadlines

• Prior experience in finance and accounting operations is preferred

• Familiarity with accounting software will be an added advantage

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Role Overview

The SDR will be responsible for identifying potential clients, generating qualified leads, and supporting the sales head in moving prospects through the funnel. This is an entry to junior-level sales role with structured growth opportunities.

Key Responsibilities

• Research and identify new client prospects from the UAE, GCC, and Indian markets (focus on SMEs).
• Execute LinkedIn outreach, email campaigns, and cold calls to generate appointments.
• Qualify leads based on business size, industry, and requirements.
• Schedule demos and meetings for the Sales Head/CEO.
• Maintain accurate records of prospects and activities in the CRM.
• Support in preparing outreach reports, sales decks, and client follow-ups.
• Achieve weekly and monthly activity targets (number of outreaches, demos booked, etc.).

Required Skills & Qualifications

• 6 months –2 years of experience in sales, business development, or lead generation (freshers with strong communication skills may also apply).
• Excellent verbal and written communication in English (Arabic knowledge is a plus, but not mandatory).
• Comfortable with LinkedIn, cold calling, and writing outreach emails.
• Persistent, self-motivated, and target-driven.
• Basic understanding of CRM, SaaS, or IT services is preferred (training will be provided).

What We Offer

• Fixed salary up to ₹25,000/month.
• Incentives for qualified leads and closed deals.
• Opportunity to work closely with leadership and learn enterprise sales.
• Structured growth path into Account Manager or Sales Executive roles within 12–18 months.
• Exposure to international markets (UAE, GCC, India).

Dear Candidate,

We have an urgent requirement of Android Developer for Noida Location.

Joining: Immediate/15 days

Exp: 1-2 years

Location: Noida, Sector-132

Responsibilities and Duties

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Qualifications: B.tech/M.tech/BE/BCA/MCA

Skills Required:

• Proven software development experience and Android skills development
• Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.
• Hybrid