5 Phython Jobs

Position - AWS Data Engineer Job Description: We are seeking a skilled Data Engineer with 7+ years of experience in data processing, ETL pipelines, and cloud-based data solutions. The ideal candidate will have strong expertise in AWS Glue, Redshift, S3, EMR, and Lambda , with hands-on experience using Python and PySpark for large-scale data transformations. The candidate will be responsible for designing, building, and maintaining scalable data pipelines and systems to support analytics and data-driven decision-making. Additionally, need to have strong expertise in Terraform and Git-based CI/CD pipelines to support infrastructure automation and configuration management. Key Responsibilities: ETL Development & Automation: Design and implement ETL pipelines using AWS Glue and PySpark to transform raw data into consumable formats. Automate data processing workflows using AWS Lambda and Step Functions. Data Integration & Storage: Integrate and ingest data from various sources into Amazon S3 and Redshift. Optimize Redshift for query performance and cost efficiency. Data Processing & Analytics: Use AWS EMR and PySpark for large-scale data processing and complex transformations. Build and manage data lakes on Amazon S3 for analytics use cases. Monitoring & Optimization: Monitor and troubleshoot data pipelines to ensure high availability and performance. Implement best practices for cost optimization and performance tuning in Redshift, Glue, and EMR. Terraform & Git-based Workflows: Design and implement Terraform modules to provision cloud infrastructure across AWS/Azure/GCP. Manage and optimize CI/CD pipelines using Git-based workflows (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps). Collaborate with developers and cloud architects to automate infrastructure provisioning and deployments. Write reusable and scalable Terraform modules following best practices and code quality standards. Maintain version control, branching strategies, and code promotion processes in Git. Collaboration: Work closely with stakeholders to understand requirements and deliver solutions. Document data workflows, designs, and processes for future reference. Must-Have Skills: Strong proficiency in Python and PySpark for data engineering tasks. Hands-on experience with AWS Glue, Redshift, S3, and EMR . Expertise in building, deploying, and optimizing data pipelines and workflows. Solid understanding of SQL and databas optimization techniques. Strong hands-on experience with Terraform , including writing and managing modules, state files, and workspaces. Proficient in CI/CD pipeline design and maintenance using tools like: GitHub Actions / GitLab CI / Jenkins / Azure DevOps Pipelines Deep understanding of Git workflows (e.g., GitFlow, trunk-based development). Experience in serverless architecture using AWS Lambda for automation and orchestration. Knowledge of data modeling, partitioning, and schema design for data lakes and warehouses.

You will be joining the S&C Global Network team as an AI - Healthcare Analytics Manager at Accenture. In this role, you will be based in either Bangalore or Gurgaon. You must possess strong skills in R, Python, SQL, Spark, Tableau, and Power BI. Additionally, having the ability to leverage design thinking, business process optimization, and stakeholder management skills would be beneficial. As a Manager in this position, your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will be driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will have the opportunity to work on high-visibility projects with top Pharma clients globally. Collaborating with leaders in strategy, industry experts, and business intelligence professionals, you will shape innovative solutions that leverage emerging technologies. Personalized training modules will be provided to develop your strategy & consulting acumen, industry knowledge, and capabilities. You will be part of a culture committed to accelerating equality for all and engage in boundaryless collaboration across the organization. In this role, you will support the delivery of consulting projects for global clients, manage daily operations within the team, and guide team members towards driving solution delivery to clients. You will also participate in client discussions, develop new industry Point of View (PoV), and translate complex analytical findings into clear reports and presentations for stakeholders. Your professional and technical skills should include relevant experience in the required domain, strong analytical, problem-solving, and communication skills, and the ability to work in a fast-paced, dynamic environment. You will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. To be eligible for this role, you should have 8-12 years of experience and hold a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative fields.,

Job Overview We are seeking an AI Engineer to join Reve Cloud and work with Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI to develop and deploy AI/ML solutions. While direct experience with Red Hat AI is a plus, were equally excited to train candidates with strong foundations in Linux, containerization, and AI/ML technologies. This role offers the opportunity to master Red Hats AI ecosystem while delivering impactful, scalable AI applications for Reve Clouds clients. Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like InstructLab. Build and maintain containerized applications with Kubernetes or similar platforms, adapting to OpenShift as needed. Support the development, training, and deployment of AI/ML models, leveraging frameworks like PyTorch or TensorFlow. Assist in implementing MLOps practices for model lifecycle management, with exposure to CI/CD pipelines. Troubleshoot and optimize Linux-based systems to ensure reliable AI performance. Learn and apply Red Hat-specific tools and best practices through on-the-job training and resources. Document workflows and contribute to Reve Clouds team knowledge sharing. Required Qualifications Education: Bachelors degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience). Experience: 2+ years in roles involving system administration, software development, or AI/ML engineering. Technical Skills: Solid experience with Linux (any distribution, e.g., Ubuntu, CentOS), including command-line usage and system management. Familiarity with container technologies (e.g., Docker, Podman) and orchestration platforms (e.g., Kubernetes). Proficiency in Python and exposure to AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Basic understanding of cloud or hybrid cloud environments (e.g., AWS, Azure, GCP). Willingness to learn Red Hat technologies like RHEL AI, OpenShift AI, and InstructLab. Soft Skills: Curiosity and eagerness to upskill in Red Hats AI ecosystem. Problem-solving mindset with a proactive approach to challenges. Ability to collaborate effectively in a team environment. Preferred Qualifications (Nice-to-Have) Exposure to Red Hat Enterprise Linux (RHEL) or Red Hat certifications (e.g., RHCSA). Experience with Kubernetes-based platforms (e.g., OpenShift, EKS, GKE). Hands-on work with AI/ML models, especially generative AI or LLMs. Familiarity with DevOps tools (e.g., Git, Ansible, Jenkins). Interest in open source communities and contributions. What We Offer Competitive salary and benefits package Comprehensive training in Red Hat AI platforms, including access to Red Hat Learning Subscription and certifications. Mentorship from experienced engineers to accelerate your growth in AI and hybrid cloud technologies. A collaborative, innovative culture with opportunities to work on cutting-edge projects at Reve Cloud. Flexible work arrangements [if applicable]. How to Apply Please submit your resume and a brief cover letter highlighting your experience with Linux, containers, or AI/MLand your interest in learning Red Hat AI technologiesto [arya.rupani@reve.cloud]. Were excited to invest in your potential at Reve Cloud! Reve Cloud is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace. Industry

MNC Bank in Bangalore looking for Internal Auditor (MRM and CRM) This position ispecifically focused on Model Risk Management (MRM) . The AVP will support the execution of end-to-end audit processes related to models, including planning, fieldwork, reporting, and issue validation. The role also emphasizes evaluating the design and operational effectiveness of controls , assessing model governance frameworks , and ensuring compliance with internal audit methodology , regulatory expectations, and industry best practices. The ideal candidate brings 10+ years of experience in internal audit or risk functions within financial services, with specialized exposure to model risk management . They must also demonstrate strong analytical, quantitative, and communication skills and be comfortable engaging with stakeholders at all levels. Key Responsibilities: Conduct audits related to Model Risk Management (MRM) and validate controls. Review model documentation, validation, implementation, and governance frameworks . Communicate findings and audit issues effectively to senior stakeholders. Prepare and document audit workpapers that are re-performance ready. Validate remediation of previously identified issues. Support regulatory compliance and internal audit standards. Key Skills & Qualifications: Masters in Statistics, Economics, Financial Engineering , or a quantitative field. CPA, CIA, FRM preferred (or willingness to pursue certification). Deep understanding of model lifecycle, risk controls , and regulatory expectations (SR 11-7, OCC 2011-12, etc.). Strong hands-on skills with tools like Python, R, SAS, SQL, Excel/VBA . Experience with Monte Carlo simulations, regression, machine learning is an added advantage. Familiarity with US regulatory standards around model risk. Strong interpersonal and stakeholder management skills.

IMMEDIATE JOINER : SENIOR FULL STACK DEVELOPER Job Title: Senior Full-Stack Developer (Bilancio Legacy System & iOS App) Location: Goregaon, Mumbai & Thane, Maharashtra Employment Type: Full-time, Day shift Reports to: CTO / Head of Technology Working Days: Monday to Friday Overview We are seeking a highly skilled full-stack developer to maintain, support, and enhance the Bilancio legacy system , a complex and mission-critical platform. This role requires expertise in Angular, Node.js, AWS infrastructure, MongoDB, serverless architecture, and iOS app maintenance . The developer will take full responsibility for both the web platform and the iOS application , ensuring seamless API communication and high availability. This is not a standard development roleit requires deep expertise in managing cloud infrastructure, securing mission-critical APIs, troubleshooting production issues, and maintaining a connected iOS application . The ideal candidate will be self-sufficient, proactive, and comfortable working in a high-responsibility role . Key Responsibilities : System Maintenance & Development Maintain and enhance the Bilancio platform built with Angular (frontend), Node.js (backend), and MongoDB Atlas (database) . Manage and optimize over 300 APIs exposed via AWS API Gateway. Develop and update AWS Lambda functions (Python, Node.js) to support business logic. Maintain and improve cron jobs and scheduled tasks. Support, maintain, and update the iOS app , ensuring it integrates seamlessly with the backend APIs. iOS Application Management Maintain and troubleshoot the existing iOS app , ensuring performance, security, and compatibility with API updates. Debug and resolve API-related issues impacting mobile users. Ensure ongoing compatibility with Apples latest iOS updates and guidelines. Coordinate App Store submissions , updates, and bug fixes as required. Work with stakeholders to prioritize new features or modifications to the mobile app. AWS Infrastructure & DevOps Own and manage AWS infrastructure , including: EC2 dedicated autoscaling instances (Node.js runtime). MongoDB Atlas dedicated autoscaling cluster . AWS VPC with complex security groups . S3 buckets for file storage and processing . Serverless Framework (Lambda, API Gateway, CloudFormation, IAM policies, etc.) . Monitor and respond to daily operational issues, performance concerns, and outages. Optimize AWS costs while ensuring system reliability and security. Improve automation, CI/CD pipelines, and infrastructure as code . Support & Troubleshooting Provide daily monitoring and proactive incident management to ensure system uptime. Investigate and resolve support tickets , addressing bugs and user-reported issues for both the web and iOS platforms. Identify and address performance bottlenecks in the application and infrastructure. Security & Compliance Maintain strict security policies , ensuring compliance with best practices for authentication, data protection, and access control . Manage complex AWS security group configurations and ensure least-privilege access principles are applied. Ensure that the iOS app follows security best practices for API communication and user data protection. Collaboration & Documentation Work closely with business stakeholders to understand feature requirements and priorities. Maintain comprehensive documentation for infrastructure, APIs, and system dependencies. Provide technical guidance and knowledge transfer to other team members as needed. Required Skills & Experience Essential Technical Skills Frontend: Angular (Bootstrap UI framework). Backend: Node.js (Express, API Gateway integrations). Database: MongoDB Atlas (Dedicated Autoscaling Cluster). AWS Expertise (MUST-HAVE): EC2 autoscaling, VPC, security groups AWS Lambda (extensive usage) API Gateway (300+ endpoints) S3, IAM roles, CloudFormation Monitoring with CloudWatch DevOps & Infrastructure: Managing complex AWS environments (production scale) CI/CD pipelines, Infrastructure as Code (Serverless Framework, Terraform, or similar) iOS App Development & Maintenance: Experience working with Swift and managing iOS applications. Strong understanding of RESTful APIs and mobile-backend communication. Familiarity with Apple App Store submission and compliance processes . Other: Python (for Lambda functions), cron job management. Nice-to-Have Skills Familiarity with React (potential frontend updates). Experience with App Store Connect, provisioning profiles, and iOS certificate management . Who You Are Independent, self-starter: You can manage and maintain a complex system with little oversight. Highly analytical: Able to quickly debug, diagnose, and resolve production issues. Problem solver: You take ownership of technical challenges and propose smart solutions. Strong communicator: Able to explain technical concepts to both developers and business stakeholders. Security-conscious: You prioritize security in application and infrastructure design. Why Join Us? High-impact role: You'll be managing a critical, high-traffic system. Autonomy & ownership: Full responsibility over the entire AWS infrastructure, web platform, and iOS app. Challenging work: Complex security models, high-availability APIs, and legacy-modernization projects. Opportunity to improve & innovate: Influence technical decisions and system architecture. To Apply: Send your resume to recruiter@thetalentoasis.com or 9699283173