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

Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-ofthe-art AI solutions for Fractal clients.

Responsibilities

As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.

• Enable Model tracking, model experimentation, Model automation
• Develop scalable ML pipelines
• Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
• Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
• Work across all phases of Model development life cycle to build MLOPS components
• Build the knowledge base required to deliver increasingly complex MLOPS projects on Azure
• Be an integral part of client business development and delivery engagements across multiple domains

Required Qualifications

• 5.5-9 years experience building production-quality software
• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR equivalent
• Strong experience in System Integration, Application Development or Datawarehouse projects across technologies used in the enterprise space
• Expertise in MLOps, machine learning and docker
• Object-oriented languages (e.g. Python, PySpark, Java, C#, C++)
• Experience developing CI/CD components for production ready ML pipeline.
• Database programming using any flavors of SQL
• Knowledge of Git for Source code management
• Ability to collaborate effectively with highly technical resources in a fast-paced environment
• Ability to solve complex challenges/problems and rapidly deliver innovative solutions
• Team handling, problem solving, project management and communication skills & creative thinking
• Foundational Knowledge of Cloud Computing on Azure
• Hunger and passion for learning new skills

The candidate should have good knowledge about the job role. Must have good writing skills. Communication skills are must.

Responsibilities

- Take ownership of copywriting function within the content marketing team and manage it to a very high standard
- (Write and edit) crisp and engaging ad copies and video scripts for search, social media, YouTube, and Product marketing activities
- Demonstrate a clear understanding of campaign objectives, offer creative ideas, and devise strategies to achieve them
- Understand target audience personas and their preferences to create engaging journeys that encourage interaction with the website, are forward-thinking, and are in line with current trends.
- Review copy, lead campaign, and copy ideation, continually improve quality of writing, and ensure all-around consistency (style, tone, fonts, and images) in the communication across channels.
- Analyze campaign performance in conjunction with members of other marketing teams to set benchmarks and continually streamline copywriting practices for enhanced quality and business outcomes.

- Convert the creative brief into a coherent, cohesive and compelling communication concept development and its translation to campaign idea/script/copy.
- Collaborate with talented team of creatives to gain deeper understanding on messaging front to storyboard campaign and develop multiple variations for creative testing.
- To Provide deputy support to the Creative Head
- To craft witty and impactful copy for individual deliverables, with a cogent call to action and ensure synergy with campaign goals
- To craft and supervise concise corporate and B2C communications and PR initiatives, including mailers and posts.
- Write effective and grammatically correct copy for target audience from conceptualization to

final execution.
- To guard the Literal Brand Tonality, as a second to the marketing team.
- Stay on top of current industry trends and happenings to use that as an opportunity to create campaigns. Think out of the box but still be relevant.

Requirements

- 6-9 years of professional copywriting experience in creative solutions for digital services with strong portfolio of Creative Concept Solutions and it's translation to script/copy.

- Proven expertise as a Content Writer, Copywriter, or a similar role
- Experience managing multiple projects, with the ability to switch from one to the other seamlessly and adhere to deadlines.

What you need to have:

Desired Candidate Profile

• Graduation is a must. MBA is desirable
• Relevant work experience of 3-4 years in hiring is a must. Start-up experience is beneficial
• Excellent knowledge and work experience in human resources management, payroll administration, performance management, communication processes and employment laws
• Excellent communication, listening and negotiation skills
• Ability to think independently but handle work collaboratively