11+ ESP Jobs in Bangalore (Bengaluru) | ESP Job openings in Bangalore (Bengaluru)

C, C++ , Linux , Device Driver , Linux Internals ,

Processor knowledge like Arm , Intel , Protocol SPI , I2C . Networking experience,

L2 protocols knowledge, knowledge on Python/Perl ,

Broadcom DNX/XGS device experience is desirable,

Interested to learn New things,

C,C++, LINUX INTERNAL OR IPC, LINUX OS CONCEPTS, DEVICE DRIVERS,

PROCESSOR KNOWLEDGE

SCRIPTING KNOWLEDGE EIHER PYTHON OR PERL

We're Hiring for Academic Advisor / Mentor for Bangalore Location

 Face to Face Interview is mandatory.

 Work from office.

Explaining organization’s services & deliverables and their importance to parents on call & one-to-one counselling session and closing sales.

 Helping clients in making action plans for entrance exams, counselling process with help of different technical tools and deliverables of company.

 Maintaining counselling records with help of CRM and tracking post sales services.

 Marketing and promoting career counselling related services for increasing office and seminar footfalls.

Interested Candidates kindly connect with below details with updated resume 

Thanks and Regards

Shreya K

HR-Executive

Responsibilities:

• Hand on experience in Golang/Python/Ruby on Rails /Node.Js
• Must have at least 1+ years of experience in Team Handling

We are looking for energetic Relationship Managers for closing high ticket Real Estate Deals.

People who are hungry for growth and making big bucks.

if you have sales experience in any industry then you are the right person for this job.

Job Location: Whitefield, Bangalore (Most of the time you need to be on the field visit with the clients)

Responsibility:

• Follow up, Show Properties, Negotiate, and Close deals

Must-Have:

• A Two Wheeler
• Proven experience as a Sales Executive or relevant role
• Proficiency in English
• Excellent knowledge of MS Office
• Thorough understanding of marketing and negotiating techniques
• Fast learner and passion for sales
• Self-motivated with a results-driven approach
• Aptitude in delivering attractive presentations.

Joining Immediate

Role: Relationship Manager
Industry Type: Real Estate
Functional Area: Sales & Business Development
Employment Type: Full Time, Permanent

Education
UG :Any Graduate
PG :Any Postgraduate

Key Skills:

Communication Skills, Presentation Skills, Sales, Negotiation Skills, Sales Ability, Business Development

Job Types:

Full-time, fixed salary + Commission 

About Urnest:

We are a proptech realty startup started in 2021, We are a small but dedicated team, solving some awesome real-world challenges.

We are a consumer-centric highly focused team with a culture of recognizing and rewarding not just performance but also effort and potential. We are expanding big and will be growing 10x in the next 15 months - in terms of team, customers and revenues.

This is the perfect stage to join us and thrive with us.

Responsibilities : 

• Design and develop scalable, high performance, and reliable API driven services/applications in Java language that operate whole day.
• Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Interact with both business, financial research, and technical stakeholders to deliver high quality products and services that meets/exceeds business, customer, and technical requirements.
• Own products and code from cradle to grave including production quality/performance monitoring.

Required Skills :

• Experience building and running high performance enterprise applications developed in Java language.
• Hands on experience developing Java web applications built with modern standards-based APIs including Java based REST APIs and implementations. 
• Experience in Java language APIs, Spring technologies, Hibernate, JDBC, RDBMS and NoSQL based data persistence.
• Experience developing solutions on AWS Cloud leveraging AWS Lambda, S3, DynamoDB, Cloud Formation, and other related AWS technologies. 
• Solid understanding of Domain Modeling with Relational and Non-Relational Databases.
• Excellent debugging and problem-solving skills, including ability to diagnose and fix performance and scalability issues.
• Experience working in an agile methodology-based development environment.
• Excellent written and verbal communication skills.
• BS/B.Tech/M.Tech in Computer Science or a related field.

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.