Email Marketing Executive

Type - Work From Office

Requirements:

• Should have sound knowledge of PHP, MySQL, JQuery & javascript.
• Should know MVC framework Yii/Yii2
• Knowledge of mobile app APIs, JSON, etc.
• Knowledge of version control systems like GIT is a plus.
• Strong analytical and problem-solving skills.
• Troubleshoot and fix any issues relating to PHP programs.

Highlights:

• Working 5 days a week.
• Group Health Insurance for our employees.
• Work with a team of 200+ excellent engineers.
• Extra Compensation for Night Shifts.
• Additional Salary for an extra day spent in the office.
• Lunch buffets for all our employees.
• Yearly and quarterly awards with CASH amount, Dinner coupons, etc
• Team Dinners on Project Completion.
• Festival celebration, month end celebration and much more.

Domain: - Investment Banking or Electronic Trading is mandatory

• Develop (Python/Py test) automation tests in all components (e.g. API testing, client-server testing, E2E testing etc.) to meet product requirements and customer usages
• Hands-On experience in Python
• Proficiency in test automation frameworks and tools such as Selenium, Cucumber.
• Experience working in a Microsoft Windows and Linux environment
• Experience using Postman and automated API testing
• Experience designing & executing load/stress and performance testing
• Experience using test cases & test execution management tools and issues management tools (e.g Jira), and development environments (like Visual Studio, IntelliJ, or Eclipse). 

Carsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

Responsibilities:

As a Business Development Manager working under the FMCG segment must perform the following responsibilities

. Create exclusive distributors, exclusive super stockiest and business associates for the company and guide, and coordinate them to achieve the target towards the entire business growth.

. Observe all the stock reports, product orders, re-order etc.

.Finding and developing new markets and improving sales.

Requirements:

.Bachelor's degree and experience in business, marketing or related field.

.Strong communication skills.

. Basic knowledge of word, excel, and PowerPoint.

Job Description & Responsibilities:

Selected engineer's day-to-day responsibilities include:

• Performs Database Administration tasks in Oracle & MS/MY SQL. Also performs basic DBA tasks in

SQL Server and DB2 environments as necessary.

• Designs and builds simple to complex database structures from data models.

• Installs, configures and patches Oracle.

• Implements HA and DR systems using Data guard and RAC.

• Builds and manages Data Guard Physical/Logical Standby Databases using Data Guard Broker

• Provides rotating 24x7 on-call support for company's Oracle, SQL Server, and DB2 environments as

necessary.

• Participates in design reviews as required to ensure database design meets application

requirements.

• Designs, maintains, documents and executes database utilities to provide information regarding

database activity.

• Proactively performs database monitoring and performance tuning tasks.

• Identify and provide solutions to performance issues in multiple database environments.

• Provides automation to standard DBA tasks. Able to develop scripts on UNIX and Windows

platforms as necessary.

• Reviews and enforces adherence to the company's Architecture, as well as database design and

usage standards.

• Understands database high availability technologies and guides the company in implementing

appropriate solutions.

• Performs other duties as assigned.

Location : Chennai, Tamil Nadu

Joining : Immediate – 15 days

Education, Experience & other requirements

• B.S. degree from an accredited university.

• Must have solid Oracle RAC , Golden Gate & Data Guard experience.

• 3+ years of extensive experience with Oracle database installation / configuration best practices

and Database upgrade/migration approaches.

• Experience installing, building, upgrading and supporting Oracle RAC environment, ASM,

Grid/Cluster.

• In-depth knowledge and hands-on experience in the installation, configuration and

troubleshooting of Oracle products and patches, including Oracle 12c, RAC, ASM, Clusterware,

GoldenGate, Dataguard, Oracle Database Appliance (ODA), Oracle Enterprise Manager 12c.

• Experience in Oracle 12c RAC based environment - architecture, installation, building, upgrading

and maintenance of Oracle RAC based environment in production.

• Extensive experience in Oracle DataGuard replication and physical standby for Disaster recovery

• Working experience of Oracle Database Appliance.

• Strong knowledge of OEM 12C grid monitoring configuration.

• Strong working experience with RMAN configuration, Job maintenance and backup & recovery

• Experience in database problem identification, problem diagnosis and resolution.

• Experience in building data architecture models and enforcing enterprise architecture standards

and guidelines.

• Excellent communication – ability to explain a technical problem to management.

• Ability to work on high performing teams and deliver under pressure situations.