11+ EMC GreenPlum Jobs in Hyderabad | EMC GreenPlum Job openings in Hyderabad

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

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

📍Company: Versatile Commerce

 📍 Position: Data Scientists

 📍 Experience: 3-9 yrs

 📍 Location: Hyderabad (WFO)

 📅 Notice Period: 0- 15 Days

Job Summary:

 The Senior Forensic Analyst has strong technical skills and an eagerness to lead projects and work with our clients. Apply Incident Response, forensics, log analysis, and malware triage skills to solve complex intrusion cases at organizations around the world. Our consultants must be comfortable working in teams to tackle challenging projects, communicating with clients, and creating and presenting high-quality deliverables.

ROLES AND RESPONSIBILITIES

· Investigate breaches leveraging forensics tools including Encase, FTK, X-Ways, SIFT, Splunk, and custom investigation tools to determine the source of compromises and malicious activity that occurred in client environments. The candidate should be able to perform forensic analysis on:

· Host-based such as Windows, Linux, and Mac OS X

· Firewall, web, database, and other log sources to identify evidence and artifacts of malicious and compromised activity.

· Cloud-based platforms such as Office 365, Google, Azure, AWS…etc

· Perform analysis on identified malicious artifacts

· Contribute to the curation of threat intelligence related to breach investigations

· Excellent verbal and written communication and experience presenting technical findings to a wide audience of varying technical expertise

· Be responsible for integrity in analysis, quality in client deliverables, as well as gathering caseload intelligence.

· Responsible for developing the forensic report for breach investigations related to ransomware, data theft, and other misconduct investigations.

· Must also be able to manage multiple projects daily.

· Manage junior analysts and/or external consultants providing investigative support

· Act as the most senior forensic analyst, assisting staff, provide a review of all forensic work product to ensure consistency and accuracy, and support based on workload or complexity of matters

· Ability to analyze workflow, processes, tools, and procedures to create further efficiency in forensic investigations

· Ability to work greater than 40 hours per week as needed DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required personnel so classified.

SKILLS AND KNOWLEDGE

· Proficient with host-based forensics, network forensics, malware analysis, and data breach response

· Experienced with EnCase, Axiom, X-Ways, FTK, SIFT, ELK, Redline, Volatility, and open-source forensic tools

· Experience with common scripting or programming language, including Perl, Python, Bash, or PowerShell Role Description Senior Forensic Analyst

JOB REQUIREMENTS

· Must have at least 5+ years of incident response or digital forensics experience with a passion for cybersecurity

· Consulting experience preferred.

WORK ENVIRONMENT

While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of this job.

PHYSICAL DEMANDS

· No physical exertion is required.

 · Travel within or outside of the state.

· Light work: Exerting up to 20 pounds of force occasionally, and/or up-to 10 pounds of force as frequently as needed to move objects.

• Experience building large scale, large volume services & distributed apps., taking them through production and post-production life cycles
• Experience in Programming Language: Java 8, Javascript
• Experience in Microservice Development or Architecture
• Experience with Web Application Frameworks: Spring or Springboot or Micronaut
• Designing: High Level/Low-Level Design
• Development Experience: Agile/ Scrum, TDD(Test Driven Development)or BDD (Behaviour Driven Development) Plus Unit Testing
• Infrastructure Experience: DevOps, CI/CD Pipeline, Docker/ Kubernetes/Jenkins, and Cloud platforms like – AWS, AZURE, GCP, etc
• Experience on one or more Database: RDBMS or NoSQL
• Experience on one or more Messaging platforms: JMS/RabbitMQ/Kafka/Tibco/Camel
• Security (Authentication, scalability, performance monitoring)

• The Recruitment Lead will be responsible for overall Annalect India recruitment strategy development, implementation and administration of recruitment programs. Execute Recruitment strategy to drive business results of each internal departments and appropriate stakeholders.
• The Recruitment Lead will possess and exercise exceptional skills in: problem solving, strategic thinking, and project/process management, coaching and fostering collaboration. To monitor and constantly reduces the costs of the recruitment process

Functions and Responsibilities:

40% Recruiting Strategy: Provide day to day support on the overall recruiting life cycle and building trusted relationships with hiring managers.

• Overall Recruiting Strategy for Annalect
  • Responsible towards the Annalect senior leadership in planning, developing, executing, and directing hiring strategies, processes, and programs for Annalect
  • Lead sourcing strategies through a variety of sourcing channels across all of Annalect’s recruiting needs.
    • Manage and maintain external search agency relationships, contracts, negotiations and effectiveness.
    • Develop and manage university and external program relationships to build additional sourcing pipelines.
    • Oversight over all Annalect open roles and health of the pipelines.
    • Identifying key industry related events and coordinating participation.
  • Responsible for partnering with Marketing and Design on all recruiting related activities including managing our social media brand related to hiring
  • Partnering effectively with the Annalect Global recruiting team, ensuring alignment on practices, and alignment on use of external agencies.
    • Hiring Manager Relationships
  • Responsible for building an understanding of our hiring needs, conducting a needs analysis and evaluation of job descriptions that best target our talent profiles.
  • Responsible for providing counsel to hiring managers on approaches to recruiting and interviewing practices
  • Act as a relationship manager between hiring managers and candidates, being responsible towards Annalect and balancing our needs and expectations with that of the candidate.
  • Partnering with the Annalect HR team on supporting Annalect Hiring manager needs.
  • Educating and enabling managers through the Annalect interview framework

30% Recruiting

• Manage open job postings and candidate pipeline
• Responsible for managing an active and passive pipeline search through a variety of recruiting channels.
• Responsible for ensuring a positive candidate experience throughout the life cycle of the recruitment process.
• Provide support on building out job descriptions
• Gathering candidate feedback in a timely manner
• Coordinating and scheduling candidates in a timely manner being respectful of the hiring managers’ schedules.
• Ensuring alignment of communications through job postings and candidate experience align with our overall Annalect culture and brand.

20% Recruiting Operations

• Reporting and Metrics:
  • Ensuring the recruiting report is updated on a weekly basis and providing any further metrics or reporting needs analysis.
  • Leadership level communication: Managing the Leadership and as appropriate Managers communications on the overall health of our recruitment.
• Financials:
  • Oversight of the budgets aligned against search agencies, external events, memberships
  • Oversight of referral program partnering with Finance, including processing of any referral payments
• Agency Relationships: Responsible for negotiating and managing any external agency relationships. Fiscally responsible for the costs and management of these relationships.  
• Responsible for the overall recruiting flow and offer approval flow:

• To ensure that the HR Policies & Procedures on recruitment are fully complied throughout the selection process. Strong ability to communicate effectively (verbal and written), at all levels within and outside the organization
• Solid understanding of on-going Technology trends. Past experience in managing and mentoring a team of at least 4-6 recruiters is a must.
• About 10 years of related experience of which a minimum of 6 years should be in a similar position / responsibility, preferably in a similar Industry. HR , Recruitment , Recruitment Manager/Preferably from Analytics or IT domain company
• Hands-on experience on MS Office skills

Ways of Working

• Think and act strategically to resolve issues, problem solve, add business value
• Approach work with a sense of urgency
• Strong organizational/planning, project management, and multi-tasking skills required to deliver on time and within budget
• Work independently with minimal supervision to set priorities and demonstrate excellent program /process and management skills
• Demonstrate a strong attention to detail
• Demonstrated experience in fostering a collaborative working environment between individuals and teams through coaching & personal example
• Exceptional time and priority management skills
• Use excellent communication skills to collaborate and provide transparency on all things
• Be a collaborative, high-energy, proactive self-starter

• Amazon & Flipkart, managing FBA inventories on affiliate platforms and reviews across platforms, managing the brand store on Amazon, maintaining price parity across platforms, coordinating with the in-house logistics teams & ensuring the stock availability in Amazon & Flipkart warehouses to avoid sale loss due to stockouts.                                                                                           

Requirement                     

• Should have exposure of working on D2C (Direct to Consumer)/B2C (Business to Consumer) brands E-commerce websites                                                                   

Skills required    

• prior experience of setting up analytics function from end to end would be desirable, skilled in SQL & data visualization,6+ years of experience in analytics function is desirable,
• Excellent communication skills,
• Calm under pressure; you have a sense of urgency but channel it into productively working through any issues                                                

JavaScript, jQuery, Angular or node, HTML, CSS, API consumption, DB knowledge, building responsive web apps.