MEDICAL REPRESENTATIVE

Candidate should have 2–6 years total experience, with 1+ year mandatory as a Project Manager in ops-driven roles.

2. Candidate should have Strong hands-on experience with Asana/Jira/Notion, Google Workspace, and Slack.

3. Candidate should have Ability to manage end-to-end project execution (schedules, deliverables, performance reviews).

4. Candidate should have Experience in risk management, coordination, and cross-functional communication.

5. Candidate should have Basic working knowledge of Python + SQL.

6. Candidate should have Experience setting up or managing onboarding workflows for teams.

7. Candidate should have Strong stakeholder management and operational planning capability.

8. Candidate should be Open to travel for project needs across India

Qualification-BE-Civil

Planning

    Prepare master project schedule

    Keep project team updated on the progress versus timelines

    Tracking all schedules weekly

    Identify actual and potential slippages and prepare recovery plans

Document Control

    Maintain records for all documents pertaining to the site –

drawing transmittals, DBR, MOM, approvals etc

    Organize and conduct review meetings

    Preparing & circulating weekly & monthly progress report

QS &Billing

    Valuation of works done periodically and certification of all vendor bills

    Track cost variation in order value

    Monitor basic price of various materials and track budgets

    Monitor and report cost performance through Earned Value

Description

Come Join Us

Experience.com - We make every experience matter more

Position: Senior GCP Data Engineer

Job Location: Chennai (Base Location) / Remote

Employment Type: Full Time

Summary of Position

A Senior Data Engineer is a professional who specializes in preparing big data infrastructure for analytical or operational uses. He/She is responsible for develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. They collaborate with data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organisation.

Responsibilities:

• Collaborate with cross-functional teams to define, prioritize, and execute data engineering initiatives aligned with business objectives.
• Design and implement scalable, reliable, and secure data solutions by industry best practices and compliance requirements.
• Drive the adoption of cloud-native technologies and architectural patterns to optimize the performance, cost, and reliability of data pipelines and analytics solutions.
• Mentor and lead a team of Data Engineers.
• Demonstrate a drive to learn and master new technologies and techniques.
• Apply strong problem-solving skills with an emphasis on building data-driven or AI-enhanced products.
• Coordinate with ML/AI and engineering teams to understand data requirements.

Experience & Skills:

• 8+ years of Strong experience in ETL and ELT data from various sources in Data Warehouses
• 8+ years of experience in Python, Pandas, Numpy, and SciPy.
• 5+ years of Experience in GCP 
• 5+ years of Experience in BigQuery, PySpark, and Pub/Sub
• 5+ years of Experience working with and creating data architectures.
• Certified in Google Cloud Professional Data Engineer.
• Advanced proficiency in Google Cloud services such as Dataflow, Dataproc, Dataprep, Data Studio, and Cloud Composer.
• Proficient in writing complex Spark (PySpark) User Defined Functions (UDFs), Spark SQL, and HiveQL.
• Good understanding of Elastic search.
• Experience in assessing and ensuring data quality, data testing, and addressing data quality issues.
• Excellent understanding of Spark architecture and underlying frameworks including storage management.
• Solid background in database design and development, database administration, and software engineering across full life cycles.
• Experience with NoSQL data stores like MongoDB, DocumentDB, and DynamoDB.
• Knowledge of data governance principles and practices, including data lineage, metadata management, and access control mechanisms.
• Experience in implementing and optimizing data security controls, encryption, and compliance measures in GCP environments.
• Ability to troubleshoot complex issues, perform root cause analysis, and implement effective solutions in a timely manner.
• Proficiency in data visualization tools such as Tableau, Looker, or Data Studio to create insightful dashboards and reports for business users.
• Strong communication and interpersonal skills to effectively collaborate with technical and non-technical stakeholders, articulate complex concepts, and drive consensus.
• Experience with agile methodologies and project management tools like Jira or Asana for sprint planning, backlog grooming, and task tracking.

1. Develop plans and strategies for developing business and achieving the company's sales goals
2. Manage operations and resources to deliver profitable growth
3. Define sales processes that drive desired sales outcomes and identify improvements where and when required
4. Operate the assigned sales territory/market segment to meet sales & service requirements and expectations within the budgeted norms
5. To establish, develop and maintain business relationships with current customers and prospective customers in the assigned territory/market segment to generate new business for the organization's products/services
6. To plan and oversee the execution of local area promotional activities in both sales and service
7. To devise strategies for effective and real-time market intelligence to stay ahead of competition
8. To come out with innovative and cost-effective marketing ideas to stay always on top
9. Provide detailed and accurate sales forecasting
10. Compile information and data related to customer and prospect interactions
11. Monitor customer, market and competitor activity and provide feedback to company leadership team and other company functions
12. Oversee the assigned sales department to ensure proper maintenance of all sales systems and functions
13. To strictly adhere to systems, procedures, credit policies, and discount structures laid by the company from time to time
14. Ensure proper sales documentation
15. Create a culture of success and ongoing business and goal achievement
16. Manage the use of budgets
17. To keep the outstanding amount in check
18. Define optimal sales force structure
19. Manage customer expectations and contribute to a high level of customer satisfaction
20. Manage key customer relationships and participate in closing strategic opportunities
21. Travel- for in-person meetings with customers and partners and to develop key relationships 

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred

• Excellent problem-solving & analytical skills & OO principles
• Solid understanding of the data structure & algorithms.
• Very good experience with PHP programming language
• Hands on experience working on Laravel. Experience with any other framework would be nice to have
• Troubleshooting skills to reproduce & resolve issues in production systems
• Experience working with git & also following following git workflow
• Experience with deployment on server would be nice to have
• Working experience with AWS services like s3, lama, cognito, would be added advantage