1583 Pandas Jobs - Page 27

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modelling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Dear Candidate, We are looking for a skilled Python Developer to build scalable web applications and data-driven solutions. If you have expertise in Django, Flask, and API development, wed love to hear from you! Key Responsibilities: Design and develop robust, scalable Python applications. Create RESTful APIs for seamless integration with front-end applications. Optimize application performance and database queries. Work with cloud platforms (AWS, Azure, GCP) for deployment. Implement best coding practices and security standards. Collaborate with data scientists, DevOps, and front-end teams. Required Skills & Qualifications: Proficiency in Python and web frameworks (Django, Flask, FastAPI). Hands-on experience with databases (PostgreSQL, MySQL, MongoDB). Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus. Familiarity with cloud services and containerization (Docker, Kubernetes). Experience with version control (Git, GitHub, GitLab). Soft Skills: Strong analytical and problem-solving skills. Ability to work independently and in a collaborative environment. Good communication and teamwork skills. Note: If interested, please share your updated resume and your preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

Role Summary We are looking for an experienced Python Lead Developer with over 7 years in Python programming, strong skills in Pandas for data manipulation, and expertise in Celery for distributed task management. This position is ideal for someone who enjoys leading development projects, mentoring teams, and ensuring high standards in software quality and performance. Key Responsibilities Lead Python development projects, ensuring code quality and efficiency. Guide and mentor team members, conduct code reviews, and foster collaboration. Utilize Pandas for data analysis and transformation tasks. Implement and maintain asynchronous tasks using Celery. Optimize application performance and scalability. Required Skills Core: Proficient in Python, Pandas, and Celery. Additional: Knowledge of relational databases, RESTful API integration, and Git. Soft Skills: Strong leadership, problem-solving, and communication abilities.

-Build scalable ML pipelines (data ingestion to deployment). -Expertise in Python, pandas, scikit-learn, xgboost/lightgbm. -Strong grasp of model evaluation, validation, and generalisation. -Docker/MLflow for orchestration; AWS/GCP deployment.

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras / Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

Role Summary We are looking for an experienced Python Lead Developer with over 7 years in Python programming, strong skills in Pandas for data manipulation, and expertise in Celery for distributed task management. This position is ideal for someone who enjoys leading development projects, mentoring teams, and ensuring high standards in software quality and performance. Key Responsibilities Lead Python development projects, ensuring code quality and efficiency. Guide and mentor team members, conduct code reviews, and foster collaboration. Utilize Pandas for data analysis and transformation tasks. Implement and maintain asynchronous tasks using Celery. Optimize application performance and scalability. Required Skills Core: Proficient in Python, Pandas, and Celery. Additional: Knowledge of relational databases, RESTful API integration, and Git. Soft Skills: Strong leadership, problem-solving, and communication abilities.

5-10 years of experience in database development or a related field. Proven experience with database design, development, and management. Experience working with large-scale databases and complex data environments Experience with data modelling and database design. Knowledge of database performance tuning and optimization. Architect, Develop and maintain tables, views, procedures, functions and packages in Database MUST HAVE Performing complex relational databases queries using SQL (AWS RDS for PostgreSQL) and Oracle PLSQL MUST HAVE Familiarity with ETL processes and tools (AWS Batch, AWS Glue etc) MUST HAVE Familiarity with CI/CD Pipelines, Jenkins Deployment, Git Repository MUST HAVE Perform in performance tuning. Proactively monitor the database systems to ensure secure services with minimum downtime and improve maintenance of the databases to include rollouts, patching, and upgrades. Experience with Aurora's scaling and replication capabilities. MUST HAVE Proficiency with AWS CloudWatch for monitoring database performance and setting up alerts. Experience with performance tuning and optimization in AWS environments MUST HAVE Experience using Confluence for documentation and collaboration. Proficiency in using SmartDraw for creating database diagrams, flowcharts, and other visual representations of data models and processes. MUST HAVE Proficiency in using libraries such as Pandas and NumPy for data manipulation, analysis, and transformation. Experience with libraries like SQLAlchemy and PyODBC for connecting to and interacting with various databases. MUST HAVE Python programming language MUST HAVE Agile/Scrum , Communication (Spoken English, clarity of thought) Big Data, Data mining, machine learning and natural language processing

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices

We are looking for a Python Full Stack Developer with strong Azure DevOps and AI integration expertise to support the automation of Kanban workflows and real-time analytics in a scaled agile environment. You will design end-to-end automation for case management, build performance dashboards, and integrate AI-powered solutions using Azure OpenAI, Dataverse, and Power BI. The role requires a deep understanding of Python development, experience with Azure services, and the ability to collaborate with cross-functional teams to deliver high-quality solutions. Key Responsibilities: Develop Python applications to automate Kanban case management integrated with Azure DevOps (ADO) Build and maintain REST APIs with access control for project and workload metrics Integrate Azure OpenAI services to automate delay analysis and generate custom summaries Design interactive dashboards using Python libraries (Pandas, Plotly, Dash) and Power BI Store, manage, and query data using Dataverse for workflow reporting and updates Leverage Microsoft Graph API and Azure SDKs for system integration and access control Collaborate with IT security, PMs, and engineering teams to gather requirements and deliver automation solutions Continuously improve security workflows, report generation, and system insights using AI and data modeling Required Skills & Experience: 5+ years of Python development experience with FastAPI or Flask Hands-on experience with Azure DevOps , including its REST APIs Proficiency in Azure OpenAI , Azure SDKs, and Microsoft Graph API Strong understanding of RBAC (Role-Based Access Control) and permissions management Experience with Power BI , Dataverse , and Python data visualization libraries (Matplotlib, Plotly, Dash) Prior experience in Agile teams and familiarity with Scrum/Kanban workflows Excellent communication and documentation skills; able to explain technical concepts to stakeholders Benefits and Perks Opportunity to work with leading global clients Exposure to modern technology stacks and tools Supportive and collaborative team environment Continuous learning and career development opportunities

Role :Python Developer Experience - 5 years to 8 years Location: PAN India Mandatory Skills : Python +AWS Key Responsibilities: Develop and maintain backend services and APIs using Python. Design and implement cloud-native solutions on AWS (Lambda, EC2, S3, RDS, etc.). Collaborate with cross-functional teams to define, design, and ship new features. Optimize applications for performance, scalability, and reliability. Ensure code quality through unit testing and code reviews. Monitor and troubleshoot production issues. Maintain documentation for code, processes, and systems.

Job Title: AI/ML Architect Location: Bangalore / Pune Experience: 10+ Years Job Type: Full-Time | Permanent Work Mode: Hybrid Job Summary We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains. Key Responsibilities Customer Engagement & Solution Architecture Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions. Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture. Create detailed system design documents, architecture diagrams, and technical roadmaps. Define data architecture, storage, and retrieval strategies tailored to AI/ML workflows. GenAI & RAG Architecture Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch. Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization. Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance. AI/ML Model Development & MLOps Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines. Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML. Define and implement model monitoring, retraining, and performance management strategies for production-grade ML systems. Ensure best practices in versioning, reproducibility, model lineage, and auditability (MLOps/LLMOps). Technical Leadership & Governance Review and approve system designs, PoCs, and implementation approaches. Provide hands-on leadership and mentorship to data scientists, ML engineers, and software developers. Lead architectural decision-making, code quality reviews, and sprint grooming sessions. Champion best practices in security, compliance, scalability, and performance optimization for AI/ML solutions. Project Management & Collaboration Own end-to-end technical delivery of AI/ML and GenAI projects across multiple domains (e.g., BFSI, Retail, Healthcare, Manufacturing). Coordinate with product owners, business analysts, data engineers, and DevOps teams to ensure seamless delivery. Manage stakeholder expectations, project timelines, and resource allocation efficiently. Required Qualifications 10+ years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions. Minimum 23 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment. Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc. Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval. Deep knowledge of Machine Learning and Deep Learning algorithms: CNNs, RNNs, LSTMs, Transformers, etc. Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER. Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas. Demonstrated experience in designing cloud-native AI/ML solutions on AWS, GCP, or Azure. Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes. Solid understanding of MLOps/LLMOps lifecycle: pipeline automation, model registry, monitoring, CI/CD. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Certification in AWS/GCP or ML specializations. Experience in leading large-scale AI transformation programs. Why Join Us? Work with cutting-edge GenAI and AI/ML technologies and projects. Collaborate with top-tier clients and drive real-world impact. Leadership opportunities in a growing AI/ML practice.

Experience - 5+Years Location - Bangalore Mandatory Skills: Must have good knowledge of Python scripting, Django and Flask. Good Experience in NumPy, pandas and PySpark. Good Experience with any source system Oracle, MySQL, SQL Server. Good Experience in Could Integration like Aws, Azure or GCP. Good Experience in Rest API. Good Knowledge on Any Database. Good Experience on Automation packages likes unit test, pytest, selenium and Robotic Framework. Must be willing to learn new tools and technologies to incorporate the changing needs of the customer. Good Experience Front End Technology like HTML, CSS and JavaScript. Good knowledge of SDLC and Agile methodology. The candidate should have good analytical skills. Excellent communication skills. Good Experience in control version tool like GitHub, bitbucket or SVN. Good Experience Data loading and extraction using python scripting. Good Experience in ML, NLP and Deep Learning Model. Handling Team members and Leadership qualities. Responsibilities: Understanding complex requirements and converting them to tasks. Work with the engineering team in hosting and maintaining the project in the Development, QA and Production servers. After Developing doing unit testing and Code Review. Development code moving to GitHub, bitbucket or SVN. Education Required: Bachelors degree or equivalent in business analysis/process analysis, organizational development or related discipline or equivalent. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy a scrumptious buffet lunch at the office every day (For Bangalore) Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions. Why join Relanto? Health & Family: Comprehensive benefits for you and your loved ones, ensuring well-being. Growth Mindset: Continuous learning opportunities to stay ahead in your field. Dynamic & Inclusive: Vibrant culture fostering collaboration, creativity, and belonging. Career Ladder: Internal promotions and clear path for advancement. Recognition & Rewards: Celebrate your achievements and contributions. Work-Life Harmony: Flexible arrangements to balance your commitments.

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role Summary We are looking for an experienced Python Lead Developer with over 7 years in Python programming, strong skills in Pandas for data manipulation, and expertise in Celery for distributed task management. This position is ideal for someone who enjoys leading development projects, mentoring teams, and ensuring high standards in software quality and performance. Key Responsibilities Lead Python development projects, ensuring code quality and efficiency. Guide and mentor team members, conduct code reviews, and foster collaboration. Utilize Pandas for data analysis and transformation tasks. Implement and maintain asynchronous tasks using Celery. Optimize application performance and scalability. Required Skills Core: Proficient in Python, Pandas, and Celery. Additional: Knowledge of relational databases, RESTful API integration, and Git. Soft Skills: Strong leadership, problem-solving, and communication abilities.

Shift: Approx 9-6, Domestic shift Data engineer, strong in Python, Solution architech At least 8+ years experience, ideally within a Data Engineer role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Excellent experience working Python, Pandas, Flask/Fast/Django API, Middleware, Scheduler, SQL, Databases. Prior experience with Python frameworks such as Django or Flask and a strong knowledge of SQL (queries, joins, etc.). Good to have some experience in AWS/Azure. Capability of developing highly-scalable RESTful APIs. Excellent team player and can work well in an individual capacity as well. Detail-oriented and possess strong analytical skills. Pays strong attention to detail and deliver work that is of a high standard. Highly goal-driven and work well in fast-paced environments. Python, RestAPI, Redis Cache, SQl ostgres/MariaDB/Clickhouse, Kubernetes, Linux/Window scheduler, Shell Script 1. DataOPS - Python Core Advanced - Development and Data Pipelining - Data Structures, Pandas, Numpy, sklearn, concurrency, design patterns 2. DevOPS - App Deployment using CI/CD tools like Jenkins, Jfrog, Docker, Kubernetes, Openshift Container Platform 3. Microservices & REST APIs - FastAPI, Flask, Tornado 4. Cloud how apps are build and deployed using cloud 5. Databases & SQL Postgres, Clickhouse, MongoDB 6. Caching & Queuing - Pub/Sub(RabbitMQ), Redis 7. Operating system - Linux and windows 8. Monitoring and Logging Splunk

Primary Requirement - Python Automation Architect (12+ Years Experience) We are seeking a highly experienced Python professional with 12+ years of expertise in Python programming and automation projects. The ideal candidate will possess strong architectural skills, deep technical knowledge, and a proven track record of delivering scalable, efficient solutions. Key Responsibilities & Expertise: Python Expertise: Deep understanding of Python internals, design patterns, and industry best practices for building high-performance applications. Architectural Design & System Planning: Demonstrated ability to design and implement scalable, maintainable, and efficient Python-based systems and architectures. Advanced Data Handling with Pandas: Extensive experience using the Pandas library for complex data manipulation, transformation, analysis, and performance optimization. Web/API Development with Flask: Proficient in building robust and secure RESTful APIs and web applications using Flask, with an emphasis on performance and scalability. Database & SQL Proficiency: Strong expertise in SQL and database design principles with a deep understanding of database architecture. Code Quality, Testing & CI/CD: Skilled in writing clean, testable code and implementing CI/CD pipelines for automated testing and deployment. Frontend Exposure: Experience working with the Angular framework for building responsive web interfaces. Nice to Have: Experience with Google BigQuery and cloud-based data warehousing . Familiarity with data integration tools such as Looker Studio. Hands-on experience with distributed systems and microservices architectures . Working knowledge of Google Cloud Platform (GCP) or Amazon Web Services (AWS) . Exposure to data science and machine learning practices. Experience with Infrastructure as Code tools like Terraform. Understanding of event-driven architectures . Skills: Python, Software Architecture, Automation Engineering, Pandas, Flask, SQL, Angular, CI/CD, Cloud Platforms (GCP/AWS), BigQuery, Terraform Required Skills Python,Architect,Automation Engineering,Pandas

Develop and implement sales forecasting models using advanced time series forecasting algorithms. Analyze and optimize pricing strategies to maximize revenue and profitability. Proven experience with time series forecasting techniques (ARIMA, Prophet, LSTM, etc.). Pandas, NumPy, Scikit-learn Proven experience with time series forecasting techniques (ARIMA, Prophet, LSTM, etc.). Expertise in sales forecasting and pricing strategy in a retail context. Location : - Remote,New Delhi,Mumbai,Bengaluru

We are hiring for talent with experience in Python + Splunk experience. Skill - Python + Splunk Location - Bangalore Exp - 5- 10 Yrs For Python: Minimum Expectations 1. We expect the candidate to demonstrate strong understanding of basics of Python, should be able to write code snippets during the interview if asked for 2. Knowledge in popular libraries like requests, pands, numpy, flask etc., is must For Splunk: Minimum Expectations 1. Develop production grade, performance tuned Splunk dashboards, reports & alerts leveraging large volumes of data 2. Proven ability in leveraging capabilities of splunk to build customized solutions

About The Opportunity : A key player in the consulting industry, we specialize in leveraging data analytics to provide actionable insights that drive business performance. With a commitment to empowering organizations through data-driven decision-making, our team works collaboratively on various projects to harness the power of data. Role & Responsibilities : - Collect, clean, and analyze data from diverse sources utilizing Python and Excel to derive meaningful insights. - Create dynamic dashboards and visualizations to present findings clearly and effectively to stakeholders. - Conduct statistical analyses to identify trends and patterns that inform strategic decisions. - Design and implement data models to support ongoing analytics processes. - Collaborate with cross-functional teams to understand data needs and deliver actionable recommendations. - Prepare comprehensive reports and presentations, demonstrating analytical findings to both technical and non-technical audiences. Skills & Qualifications : Must-Have : - Proficiency in Python for data analysis, with experience in libraries like Pandas and NumPy. - Advanced skills in Excel for data manipulation, analysis, and visualization. - Strong understanding of statistical methods and their application in data analysis. - Experience with SQL for querying and managing databases. - Ability to effectively communicate findings and support data-driven decision-making. Preferred : - Experience with data visualization tools such as Tableau or Power BI. - Knowledge of machine learning concepts for predictive analytics. - Familiarity with data warehousing concepts. Benefits & Culture Highlights : - Collaborative and inclusive work environment. - Opportunity for professional growth and skill development. - Engaging projects that make a real impact on clients' businesses.