11+ Data cleansing Jobs in Chennai | Data cleansing Job openings in Chennai

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

We have opening for Store Manager role in Chennai and Hyderabad

Experience : 3 to 8 years

Need from Premium brand

Job Title: Front Desk Executive

Job Description:

We are looking for a professional and energetic Front Desk Executive to be the face of our studio. The ideal candidate will coordinate with consultants to book consultations, ensure smooth front desk operations, and provide exceptional customer service to enhance client satisfaction.

Key Responsibilities:

• Coordinate with consultants to schedule consultations, helping them meet individual targets and earn incentives.
• Handle inquiries via phone and email, providing prompt and accurate responses.
• Ensure all Brand Standards are upheld at the front desk and throughout the studio.
• Manage front desk operations, ensuring clients receive timely, friendly, and personalized attention.
• Oversee guest relations and front office staff, maintaining a positive and professional environment.
• Compile and report on front desk statistics and performance metrics.
• Maintain high standards of conduct, dress, hygiene, and appearance for both yourself and colleagues at the front desk.
• Create efficient work schedules for front office staff to ensure smooth daily operations.

Desired Candidate Profile:

• Proven track record of lead generation/ pre sales & target achievement.
• Excellent communication skills in English, Hindi, and a regional language (specific to the location).
• Strong telephone etiquette and client handling abilities.
• Knowledge of routine operations management.
• Highly motivated and results-driven, with a focus on achieving targets.
• Comfortable working in a target-based role.
• Exceptional client management and relationship-building skills.
• Presentable, professional, and well-groomed appearance.
• Preference will be given to candidates with a strong commitment to front office operations.

This position offers an opportunity to engage directly with clients, ensuring they receive a seamless and positive experience while supporting the studio's growth and objectives.

Role & Responsibilities:

AWS Cloud Management:

• Lead the design, deployment, and management of AWS cloud infrastructure to ensure

scalability, security, and reliability.

• Oversee the implementation of best practices for cloud resource utilization.

Automated Provisioning:

• Drive the development and maintenance of automated provisioning processes for

infrastructure deployment, leveraging tools such as Terraform and Packer.

• Continuously enhance deployment workflows to optimize efficiency.

Financial Operations (FinOps):

• Implement and champion FinOps practices to optimize cloud costs and resource

utilization.

• Conduct regular cost analysis and identify opportunities for cost savings without

compromising performance.

Infrastructure as Code (IaC):

• Collaborate with teams to implement and maintain IaC scripts for infrastructure

configuration and deployment.

• Ensure version control and consistency in infrastructure code across projects.

Team Leadership:

• Lead and mentor a team of DevOps engineers, providing technical guidance and

support.\

• Foster a collaborative and innovative team culture focused on continuous improvement.

Continuous Integration/Continuous Deployment (CI/CD):

• Drive the implementation and maintenance of CI/CD pipelines to automate software

delivery processes.

• Ensure seamless and reliable application deployments across environments.

Monitoring and Optimization:

• Implement monitoring solutions for cloud resources and applications.

• Proactively identify and address performance bottlenecks, ensuring optimal system

performance.

Key Responsibilities:   

• Should have hands-on experience with Java   

• Strong experience in Spring Boot, Micro Services   

• Should be well versed with Agile Development methodologies   

• Should have strong debugging and communication skill   

• Should participate in design discussions and provide application designs, architecture, timeline estimations   

• Problem-solving mind and attitude   

• Ability to interface well with externally facing departments and directly with customers   

• Effective communication skills – written, spoken, listening, and presentation   

• Great Team player and experience working with global teams and global organizations Genuine interest in learning and knowledge sharing   

Primary Skills:   

• 2 years of Spring Boot and Microservices.   

• 3+ years of experience in Core Java.   

• Proficiency with Spring Framework.   

• Innovate new approaches algorithms, libraries, tools, platforms, for relevant development areas   

• Strong programming skills in Core JAVA / J2EE expert level   

• Good at data structures, algorithms, problem-solving, and design patterns   

• Knowledge of Web Services, Spring, ORM Frameworks, Spring Boot, Spring Cloud Gateway, OAuth2.0, Spring Security, JWT, Eureka, Hystrix, Apache Cassandra   

• Should be well familiar with SQL/NO-SQL database   

• Knowledge of Spring Batch, Kubernetes, Docker is a plus point    

• 3to 4years of professional experience as a DevOps / System Engineer
• Command line experience with Linux including writing bash scripts
• Programming in Python, Java or similar
• Fluent in Python and Python testing best practices
• Extensive experience working within AWS and with it’s managed products (EC2, ECS, ECR,R53,SES, Elasticache, RDS,VPCs etc)
• Strong experience with containers (Docker, Compose, ECS)
• Version control system experience (e.g. Git)
• Networking fundamentals
• Ability to learn and apply new technologies through self-learning

Responsibilities

• As part of a team implement DevOps infrastructure projects
• Design and implement secure automation solutions for development, testing, and productionenvironments
• Build and deploy automation, monitoring, and analysis solutions
• Manage our continuous integration and delivery pipeline to maximize efficiency
• Implement industry best practices for system hardening and configuration management
• Secure, scale, and manage Linux virtual environments
• Develop and maintain solutions for operational administration, system/data backup, disasterrecovery, and security/performance monitoring