Telesales Executive

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

• 0-2 years of experience in the Linux DevOps
• Deploying applications in a Linux environments
• Hands-on experience with Popular CI/CD tools like [Jenkins, Docker, Kubernetes]
• Good knowledge on Scripting [Javascript,ReactJS,NodeJS]
• Knowledge on MySQL Database Administration
• Familiarity with AWS and other DevOps concepts
• Familiarity with the Linux commands
• Working Knowledge and experience on Open Source Tools, Version Controls [GIT]

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMQAM0120PS

1. Primary Skills:

• Quality Engineering / Test Automation
• Deep understanding of software engineering fundamentals
• Experience in testing web app - UI, API
• Knows REST API automation
• Experience working in Linux/Unix environment
• Good to have scripting languages (Shell Scripting, Perl)
• Basic Knowledge of SQL
• Outstanding problem solving and debugging skills
• Candidate has worked on Microservices architecture

1. Secondary Skills:

Work closely with product manager and developer to understand product

requirements and design.

• Design and execute manual test cases - End2End testing, functional

testing, UI testing, regression testing, Integration testing.

• Coordinate with the developer, product manager, and other business

stakeholders on test case review, identify missing and complex test case

scenarios.

• Raise bug for test case failure, Publish test report,
• Analyze server logs, DB and provide other relevant details with a bug

4.Years of Experience: 5-8 Years

1. Location:(Hybrid)-Bangalore, Hyderabad and Gurgoan
2. Position-1
3. Budget-24 LPA
4. NP- Immediate-15 Days

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

1. Creating ads for brands social media pages
2. Creating logos, brochures, packaging etc
3. Co ordinating with clients to understand their requirement and delivering the same on time

• Strong Systems Experience- Linux, networking, cloud, APIs
• Scripting language Programming - Shell, Python
• Strong Debugging Capability
• AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
• Knowledge on Terraform, Packer, Ansible, Jenkins
• Observability - Prometheus, InfluxDB, Dynatrace,
• Grafana, Splunk • DevSecOps-CI/CD - Jenkins
• Microservices
• Security & Access Management
• Container Orchestration a plus - Kubernetes, Docker etc.
• Big Data Platforms knowledge EMR, Databricks. Cloudera a plus

• Experience in understanding and Debugging of java web-based technologies (Java, Java Spring, JSP, Servlet, JavaScript, CSS, XML, JSON). 
• Experience with API Background like Linux, Windows, Jason 
• Good knowledge of Oracle PLSQL and Shell scripting. 
• Excellent verbal and written communication skills. 
• Demonstrated ability to install, configure, maintain, upgrade, troubleshoot, repair, and support Adobe Experience Manager (AEM/CQ5). 
• Comfortable with basic scripting and programming (Java, C , Python, Powershell, Bash, etc). managing known hosts and troubleshooting connection issues Support of AEM/CQ5 infrastructure with load-balanced, replicated and fail-over capabilities. 
• Installation / configuration / maintenance of Apache webserver and Dispatcher module configs. 
• Ability to monitor Adobe Experience Manager/CQ5 infrastructure and provide both proactive and reactive support, problem management and root cause analysis. 
• Support application deployment into the Adobe Experience Manager environments, configuring application needs, deploying code/content, troubleshooting and performance tuning. 
• Experience in troubleshooting production environment issues and working closely with Development teams Able to work on Linux/unix environments

• Build an algorithm for artist to detect if their music was violating copy right infringement laws

• Successfully won Techcrunch Disrupt

• Optimized an algorithm that holds the current world record for Weisman Scores