Data Engineer

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities. 

• 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.

• Produce clean code and automated tests
• Align with enterprise architecture frameworks and standards
• Be the role-model for all engineers in the team in terms of technical competency
• Research, assess and adopt new technologies as required
• Be a guide and mentor to the team members and help in ramping up the overall skill-base of the team.
• Produce detailed estimates and optimized work plans for requirements and changes
• Ensure that features are delivered on time and that they meet the business needs
• Strive for quality of performance, usability, reliability, maintainability, and extensibility
• Identify opportunities for process and tool improvements
• Use analytical rigor to produce effective solutions to poorly defined problems
• Follow Build to Ship mantra in practice with full Dev Ops implementation
• 10+ years of core software development and product creation experience in CPaaS.
• Working knowledge in VoIP, communication API , J2EE, JMS/ Kafka, Web-Services, Hadoop, React, Node.js, GoLang.
• Working knowledge in Various CPaaS channels - SMS, voice, WhatsApp, RCS, Email.
• Working knowledge of DevOps, automation testing, test driven development, behavior driven development, server-less or micro-services
• Experience with AWS / Azure deployments
• Solid background in large scale software development.
• Full stack understanding of web/mobile/API/database development concepts and patterns
• Exposure to Microservices, Iaas, PaaS, service mesh, SaaS and cloud native application development.
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• Understanding of Agile Scrum and SDLC principles.
• Containerization and orchestrations:- Dockers, kuberenetes, openshift, consule etc.
• Knowledge on NFV (openstack, Vsphere, Vcloud etc)
• Experience in Data Analytics/AI/ML or Marketing Tech domain is an added advantage
•  

We are hiring for Sales Executive who can work from office for US Customers, The Candidates should be engaged in Inside sales, Cold calling, Lead generation.

Position: Sales Executive

Mode of Work : WHO

Shift : Night Shift

Shift Timings: 7 Pm to 4 Am

Cab Facility: Yes ( Both Pickup & Drop )

Post Graduation is must : MBA Preferred

Mainly looking for the female candidates who are passed out in the year 2021.

Proficient in Java 8 Version, J2EE and related technologies.
• Experienced in using spring, Spring Boot, Hibernate, messaging systems.
• Good understanding of relational database performance concepts and usage of ORM frameworks such as Hibernate
• Expert understanding of the object-oriented design and programming concepts
• Strong working experience  on Data Structures, Algorithms and Collections.
• Solid experience building applications on top of RESTful APIs.
• Knowledge/experience with Spring MVC
• Stroing knowledge in developing and executing automated unit, functional and integration tests
• Good communication and analytical skills.
• Strong trouble shooting skills

• Must have - Javascript, React JS, React Native, Typescript
• Good to have - Andriod/iOS, Express.JS, Angular, VUE, Team Lead experience/Scrum Master, Design Experience
• Working Experience on building Dashboards, UI Prototypes, Internal Tools
• Profile - Independent, Self-Organised, Problem Solver