Campus Ambassador

HR Recruiter

Location: Noida / Central Delhi/ South Delhi (On-site)

Role & Responsibilities

• Agency & Vendor Management: Build and maintain relationships with recruitment

agencies and hiring partners.

• Candidate Sourcing: Create a strong talent pipeline through agencies, internal

databases, referrals, and other sourcing channels.

• Screening & Shortlisting: Review applications, conduct initial screening, and present top

candidates to Business Managers for interviews.

• Hiring Targets: Meet recruitment goals by leveraging multiple hiring channels, ensuring a

seamless hiring experience.

Qualifications

• Education: Graduate in any discipline.
• Experience: Minimum 2 years of recruitment experience, preferably in a recruitment

firm or fast-growing organization.

Required Skills

Strong experience in end-to-end recruitment (sourcing, screening, and onboarding).

Ability to manage multiple stakeholders and work in a fast-paced environment.Excellent communication and negotiation skills.

Proficiency in using recruitment databases.

Only female candidates, Naukari portal experience is Mandatory

Age: upto 28 yrs

Locations: Noida, Okhla and Green Park

Job Description

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, 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

Responsibilities:

• Experience of working in the complete Software development life cycle involving project estimation, development, documentation, unit/integration, and testing
• Self-starter & motivator and a keen learner of new technology and other related stuff
• Experienced problem solver with good analytical skills. Experienced in issue resolution and bug-fixing in timely manner
• Good team player with excellent communication skills and quick adaptability to new technologies & work environments
• Implementing NetSuite solutions, both configurations and customizations and to take ownership of end-to-end development from design to deployment
• Must have hands on experience of SuiteScript language, SuiteFlow workflow, SuiteBuilder Customization of forms, records, Saved Search Custom Report
• Must have done customizations on NetSuite platform in implementation projects
• Should have understanding on overall NetSuite functionality ERP/CRM/E-Commerce: Procure to Pay, Order to Cash, Inventory Management, Finance, Project Management, CRM
• Programming Languages/ Framework - SuiteScript 1.0, SuiteScript 2.0, JavaScript (Required), C# (Nice to Have) , ASP.NET (Required) MVC (Model View Controller), Webservice
• Tools - Visual Studio 2005/2008/2010/2012/2013 (Nice to have)
• Exposure to SVN, Box or any code repository technologies.
• Client-Side Technologies - JavaScript, JQuery, Ajax, HTML, CSS and Backbone JS
• NetSuite Functional experience will be a plus
• Should be expertise in - Suite Script 2.0 types - User event, Client Script, Suitelet, RESTlet, Map/Reduce, Scheduled, WFA at least. And should be familiar with all 2.0 Modules
• Should be expertise in troubleshooting the scripts using Debugger and Console.
• Should be familiar with Code Version Control - Git, Bitbucket
• Should have knowledge on script optimization and error handling
• Must have knowledge in integration and Unit testing and code debugging
• Should be experienced with Advanced pdf customizations with extended script knowledge
• Candidate is expected to have worked on all the above technologies and not merely theory knowledge
• Should be familiar with Agile methodology
• Having Core JavaScript library customizations and understanding to apply is plus.
• Should be proactive in work and response to emails and professional chat and handle multiple tasks, should be working with minimal supervision.
• Knowledge on any Project Management tool like Jira is plus.
• Other Industry standard responsibilities

Experience:

• Candidates should have 2+ years of experience in NetSuite.
• Candidates should have Computer background.
• Should be part of at least 2 to 3 implementation projects with medium level customizations at least.
• Excellent communication for client facing on need basis.

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.