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·             Develop safety manuals with various safety procedures and standards that are to be followed at Ramky in consultation with the Head R&D, QA & Safety

·             Conduct periodic safety training sessions for Ramky team and external contractor teams on safety procedures and standards.

·             Assess the safety risks involved in any phase of the project and take proactive measures to ensure safety of resources involved in the implementation of the project phase

·             Conduct field inspection activities as per approved inspection and test plans and escalate any deviations from safety standards to the Head R&D, QA and Safety.

·             Ensure the timely implementation of corrective action proposed by the Head Safety on the safety

·             Deviation cases.

·             Facilitate the safety audits by the internal audit / designated audit committees

·             Implement an occupational health & safety management system during the execution of projects & ensure elimination of accidents

·             Manage the local pollution, effluents (solid, liquid and gas) from the facility within permissible limits

·             Identify potential risk and accident areas and ensure proper warnings are displayed at these site areas

·             Monitor the project execution activities to identify potential hazards and take steps to eliminate the same

·             Establish a disaster recovery mechanism in case of hazards and emergency to minimize the impact

Desired Qualification:

·             Minimum graduate in engineering or post-graduate in science with Safety certification from a reputed institute.

·             Having a qualification in chemical engineering / science is preferred.

·             Minimum 15 years or above work experience in OH&S is mandatory.

·             Experience in the chemical industry, dealing with chemicals, knowledge on chemical compatibility, Hazard & Risk management are essentially desirable.

·             Experience as overall leader for safety at corporate reporting to senior management at corporate driving the various safety leads and the entire safety system is essential  

Sound technical exposure in React, Node, API, Java, JPA, Hibernate, Kafka, REST API,

Postgre DB.

• Strong experience in systems design principles.

• Must have strong exposure in PSQL queries and stored procedures.

• Experience in Lending/Fintech domains will be preferable.

• Design, implement and maintain Java-based applications that can be high-volume and

low-latency.

• Familiarity with browser testing and debugging.

• Analyze user requirements to define business objectives.

• Identify and resolve any technical issues arising.

• Develop technical designs for application development.

• Conducting software analysis, programming, testing, and debugging.

• Manage Java and Java EE application development.

• Understanding of strategic handling of technical projects. i.e. adhering to stakeholder

expectations and processes.

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

What You’ll Be Doing

Algorithm Development:

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation:

Build, train, and refine machine learning models for business integration.

Collaboration:

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation:

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation:

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation:

Maintain clear records of algorithms and models for team reference.

Professional Growth:

Engage in continuous learning and mentor junior team members.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Job Responsibilities

✓ Perform the role of Technical Lead on assigned projects to drive solution design (especially backend) and API services development.

✓ Be the thought leader and champion for above mentioned technologies.

✓ Drive technical analysis for new projects including planning and driving proof-of-concepts, if needed.

✓ Drive tasks related to backend development by providing architectural and technical leadership to mid-tier and database developers.

✓ Conduct peer reviews as the lead into Git to confirmed that developed code meets acceptable standards and guidelines.

✓ Work closely with the rest of the leads, mid-tier development, front-end developers, database developers, etc. to ensure end-to-end integrity of the solution being developed.

✓ Work closely with the rest of the tech leads and senior engineering leadership team to ensure reuse where applicable to increase productivity and throughput.

✓ Conduct technical interview to staff open positions in the backend team.

✓ Delegate work and assignments to team members

✓ Collaborate with their team to identify and fix technical problems

✓ Analyze users' needs and then finding applications to serve them

✓ Drive assigned tasks related to SOC 2 certification and ensure compliance to defined controls for areas under lead’s purview.

✓ Guiding their team through technical issues and challenges

✓ Prepare Technical design documents which would help the team to understand the technical flow

✓ Active participation in customer calls especially discussions related to Technical/Architectural and provide inputs.

Required Experience: 

✓ Backend Lead around 14 years of experience

✓ Server less Computing Architecture

✓ NodeJS, MySQL, Jenkins, Python, GitLab Technologies

✓ Good knowledge of AWS Cloud

✓ Full cycle AWS implementation experience

✓ Project experience in development and maintenance support for AWS web service and Cloudbased implementations

✓ Experience leading teams of up to 10 + professionals

Ability to manage multiple tasks and projects in a fast-moving environment 

Educational Qualifications: 

Engineering graduate or B. Tech/MCA with relevant major subjects like Computer Science

Software Development Engineer:

Major Responsibilities:

• Translation of complex functional requirements into technical requirements, implementing and maintaining a coherent and progressive development strategy for our product line
• Design, develop and maintain complex systems using best of the breed development practices and technology.
• Responsible for the over-all software development life cycle.
• Delivery of High Quality, Scalable and Extensible systems and applications on-time and on-budget.
• Adoption and Evolution of the software engineering practices and tools within the organization
• Keep in sync with the latest technology developments and open source offerings. Evaluate and adopt them for solving business problem of organization.
• Collaborate with other technology and business teams within the organization to provide efficient robust solutions to the problems.
• Drive and manage the bug triage process
• Report on status of product delivery and quality to management, customer support and product teams.

Desired Skills

• Strong programming, debugging, and problem-solving skills
• Strong understanding of data structures and algorithms
• Sound understanding of object-oriented programming and excellent software design skills.
• Good experience of SOA/Microservices/Restful services and development of N-tier J2EE / JavaSpringboot applications (API’s).
• Strong understanding of database design and SQL (mySql/mariaDB) development
• Good to have knowledge of NoSQL technologies like MongoDB, Solr, Redis, Cassandra or any other NoSQL database
• Knowledge of design patterns and good to have experience of large-scale applications
• Should have experience in Apache Kafka, RabbitMQ or other Queueing systems.

Ideal Experience

• 3 to 8 years of industry experience.
• Bachelors or Master’s Degree in Computer Science/ IT
• Drive discussions to create/improve product, process and technology
• Provide end to end solution and design details
• Lead development of formalized solution methodologies
• Passion to work in startup like environment

Personal Characteristics

• Passion and commitment
• Strong and excellent software design intellect
• High integrity
• Self-starter

Prelude

Required Skills

• 2+ years of RELEVANT EXPERIENCE in ReactJS
• Strong Computer Science fundamentals - data structures and algorithms
• Strong understanding of ReactJS Ecosystem (State management, Component-based design, Hooks, Responsive design)
• Good with CSS (converting UI designs to code)
• Writing clean and maintainable code
• Proficient understanding of APIs and wiring them   
• Strong testing, debugging, and problem-solving skills
• Familiar with modern development practices - writing clean code, git versioning, understanding development workflows

• 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
• Strong industry expertise with containerization technologies including kubernetes, docker-compose
• 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• Experience with scripting languages. Python experience highly desirable.
• 2+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Demonstrated expertise of building cloud native applications
• Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
• Experience in API development using Swagger
• Strong expertise with containerization technologies including kubernetes, docker-compose
• Experience with cloud platform services such as AWS, Azure or GCP.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

• Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
• Assist in dev ops operations
• Develop data ingestion processes and ETLs
• Design and Implement APIs
• Assist in dev ops operations
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

• Use a variety of technologies such as JavaScript, HTML5, CSS3, RazorUI, FluentUI, React.js, NextJs, TypeScript, C#, .NET Core, ASP.net CI/CD, SQL Server Powershell
  
  
• Collaborate with our product team to identify and implement solutions that bring direct value to our clients as well as with your peers
  
  
• Partner with your peers and stakeholders to ensure the software delivered is of the highest quality
  
  
• Learn and follow Agile Software Development principles.
  
  
• Gain broader proficiency for the product and demonstrate the ability to contribute to forward direction
  
  
• Additionally, as part of the PacteraEDGE Engineering community, over time you will find opportunities to have a broad impact across the department.
  
  

Skillset:ASP.NET, JavaScript, ReactJS, NextJS, JavaScript, CSS3/HTML5, Azure, Git, SQL Server

Responsibilities

• Collaborate with the developers to design and build a real-time, web-based system
  
  
• Ensure interfaces function quickly.
  
  
• Write clean, maintainable, and well-tested code
  
  
• Stay current on software engineering trends & tools, and be practical but open-minded in applying them
  
  
• Maintain a high bar for quality and performance of your product with vigorous attention to detail and automated testing
  
  
• Continuously improve how we design, build, and ship software as a highly functional team
  
  

Other skills

• The candidate should be from Computer Science and Engineering / Information Technology background. (Completed course as Full Time)
  
  
• Candidate should have a degree in Bachelors of Technology (B.Tech)/BE/MCA
  
  
• 2+ years of practical experience in software development, including designing, building, deploying, and maintaining web applications
  
  
• Experience working with web-based APIs (REST) is a plus
  
  
• Experience working with .NET is a must
  
  
• Experience working with JavaScript is a Plus
  
  
• Experience with RDBMS and Non- Relational Database is a plus
  
  
• Experience in cloud infrastructure preferred Azure a plus
  
  
• Ability to communicate effectively with peers within the organization
  
  
• Compassion and empathy
  
  
• Ability to contribute to code review feedback for other engineers and contribute to forward design ideas
  
  
• The pattern of continuous learning and achievement in career

• 6+ years of experience working with MongoDB or other NoSQL databases.
• Maintain and configure MongoDB (developer)
• Keep clear documentation of the database setup and architecture.
• Backup and Disaster Recovery management.
• Adept with all the best practices and design patterns in MongoDB for designing document schemas.
• Good grasp of MongoDB’s aggregation framework.
• Ensure that the databases achieve maximum performance and availability.
• Design indexing strategies.
• Configure, monitor, and deploy replica sets.
• Should have experience with MongoDB Atlas.
• Should have minimum experience with development and performance tuning.
• Create roles and users and set their permissions.
• Excellent written, verbal communication skills and critical thinking skills