16,141 Data Profiling Jobs in Secunderabad

We are currently hiring for the role of Sales Manager/Engineer for one of our esteemed clients in Mumbai Location. Please find the detailed JD below: Position :- Big Data Developer Location :- Pune Experience : 5+ Years  Job Description A Big Data Developer specializes in designing, building, and managing systems that handle large amounts of data using technologies like Hadoop or Spark. Here's a breakdown of the role: Mandatory Skills-API Development & Integration, JAVA, Spark, BIG Data Development & Data Engineering. Key Responsibilities: - Designing and Building Big Data Applications: Collaborate with team members to create big data applications, requiring a wide range of skills, including Big Data, Python, Java, and data modelling. - Coding and Testing: Spend most of the day coding, testing, and fixing bugs in big data applications. - Data Management: Manage data processing systems, perform ETL tasks, and ensure data quality. - Infrastructure Management: Select and integrate Big Data tools and frameworks, monitor performance, and advise on infrastructure changes. If intrested Please share your updated CV and below details Total Exp in Big Data -Exp in SQL - Exp in Linux - Current CTC - Current Location -Notice Period - Reason for change -  -------------------------- Thanks & Regards,Evoke HR Solutions Pvt Ltd || +91 6358853287

Dear Candidate, We are hiring Data Entry Executives! Your main task will be to enter and update data in our systems with accuracy and speed. Who can apply Freshers are welcome Back Office / Computer Operator / Data Entry Operator roles No age limit Open to both male and female candidates. Any qualification accepted Graduate, Diploma, or any background. What do you need Just basic computer knowledge A smartphone, laptop, or any digital device to work on What we offer: Flexible work timings No targets, no pressure Simple work just complete and submit on time If youre looking for a stress-free job that adapts to your schedule, wed love to have you join our team! Thank you!

Dear Candidate, Were excited to offer a flexible work-from-home position that allows you to earn at your own pace while exploring other remote job opportunities that suit your skills and interests. Positions Available: Data Entry Executive Typist Computer Operator Back Office Support Location: 100% Remote Work from anywhere Job Type: Choose between Part-Time or Full-Time based on your availability Requirements: Basic computer skills Access to a smartphone, laptop, or any internet-enabled device Minimum qualification: 12th pass Who Can Apply Students, freshers, homemakers, retired professionals anyone looking for flexible remote work Open to both male and female applicants Key Highlights: No targets, no pressure Work at your own pace Stress-free environment Timely submission of work is your main responsibility No prior experience needed just a willingness to learn If you're looking for a genuine opportunity to earn from home with full support and flexibility, this is your chance. Apply now and take the first step toward a more balanced work-life experience. Warm regards, HR Team

Dear candidate, As a Data Entry Operator, your main responsibility will be to input and update data into the computer system accurately and efficiently. With no fixed working hours, no targets, and minimal supervision,  We have various types of online and offline project works. Position: Fresher /Computer Operator/ Data Entry Operator    skills needed: basic computer knowledge  No Age Bar No Work Pressure,No Targets. No internet required to do the work  Work from smartphone or laptop or by any gadgets can be done. Job responsibility : Job Responsibilities is that you have to submit your work on time. Thank you 

Job Description We are seeking an experienced Snowflake Database Administrator DBA to join our team The ideal candidate will have a deep understanding of Data Warehousing fundamentals and concepts with a proven track record in Snowflake administration Key Responsibilities Database Management Oversee and manage Snowflake databases including user management security management performance tuning high availability space management and backuprecovery processes Automation Implement and support automation for production deployments in Snowflake Automate database administration tasks using PLSQL shell scripts and other relevant scripting languages Troubleshooting Diagnose and resolve Snowflake database errors ensuring minimal downtime and disruption to services Security Implement and enforce data encryption decryption and masking policies to protect sensitive PIIPCI data Conduct regular user security audits to ensure compliance with organizational policies Performance Optimization Demonstrate proficiency in index design query plan optimization and analysis to enhance database performance Tune Snowflake databases to optimize query performance Capacity Planning Create and maintain Snowflake utilization and capacity plans to ensure efficient resource usage and scalability Scripting and Automation Develop scripts and workflows using languages such as Python and PowerShell as well as automation tools like Ansible and Terraform to streamline database provisioning configuration and maintenance tasks Monitoring and ing Implement automated monitoring and ing systems to proactively identify and address performance issues security vulnerabilities and other databaserelated concerns Qualifications Snowflake DBA AWS SQL ETL concepts Airflow or any orchestration tools Data Warehousing concepts Proficiency in scripting languages eg Python Shell and automation tools eg Ansible Terraform Experience in database performance tuning security management and automation Ability to diagnose and troubleshoot database issues effectively Excellent problemsolving and communication skills

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

Job Title: GenAI Technical Support Advisory Lead L25 Support Layer Location: India Remote or India Office Work Hours: US Time Zone Active until 300 PM PST Role Overview We are looking for a handson leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3 This person will act as the first point of escalation for AIrelated technical questions ensure quality in responses and coordinate with global colleagues to resolve complex queries This role is part technical support part advisory ensuring internal teams have the right AI tools workflows and knowledge to work effectively Key Responsibilities Serve as the primary point of contact for escalated technical queries related to Generative AI GenAI the internal enterprise AI chat solution and AIassisted workflows Provide direct technical assistance and guidance to users escalate to and collaborate with L3 subjectmatter experts when necessary Ensure accuracy consistency and quality in responses provided to internal teams Document solutions best practices and repeatable workflows for common queries Monitor and analyze support requests to identify training opportunities system improvements or process optimizations Stay updated on emerging AI tools prompt engineering techniques and integration capabilities Required Qualifications Proven experience in Generative AI technologies including enterprise AI chat solutions eg Azure OpenAI Anthropic Claude Google Gemini or custom internal AI chat platforms Strong technical troubleshooting and problemsolving skills especially in complex AI workflows Excellent communication skills with the ability to explain technical concepts clearly to nontechnical audiences Experience acting in an L25 role or similar owning escalations and bridging between support and engineering teams Proactive resourceful and comfortable working across time zones Strong documentation and knowledge management skills Preferred Qualifications Experience working in a technology support or AI advisory role Familiarity with AI integration platforms eg n8n Zapier Workato or workflow automation tools Exposure to prompt engineering best practices

Job ID: ITC/G/20251029/22301 Role: GCP Data Engineer Location: Hyderabad Status: Open   Role Overview This role focuses on designing, developing, testing, and deploying data models and transformations on Google Cloud Platform, primarily using BigQuery and Data Fusion. The engineer will be responsible for building scalable data pipelines, optimizing data structures for analytics and visualization, and supporting CI/CD automation. Key Responsibilities Design and develop GCP-based data models and ETL/ELT pipelines. Build and deploy transformations in BigQuery and Data Fusion. Optimize data views and datasets for reporting and visualization use cases. Manage and maintain code repositories, artifacts, and deployment workflows. Implement CI/CD pipelines using tools like Git, Jenkins, Ansible, etc. Perform data preparation, wrangling, and quality checks. Work with relational, dimensional, and preferably Data Vault data models. Collaborate in a hybrid work environment with cross-functional teams. Required Skills Google Cloud Platform (GCP) BigQuery Data Fusion SQL / T-SQL Ansible CI/CD Tools (Git, Jenkins) Data Modeling (Relational, Dimensional; Data Vault preferred) Data Wrangling & Preparation Qualification B.Tech (Computer Science, IT, or related field preferred) Experience 6-15 years in Data Engineering / Cloud Data Platforms Salary Range 10,00,000 - 27,00,000 (based on experience and skill level)

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

Were hiring Data Engineer Professionals across multiple roles! Location: Hyderabad / Chennai Experience: 5 to 10 Years Mode: Walk-in Drive Immediate Joiners Preferred Open Roles: 1 Data Engineer AWS, PySpark 2 Data Engineer Snowflake, AWS (Good to have: DBT / Python) 3 ETL Tester with experience in any ETL Development Tool If you're passionate about building scalable data solutions and want to be part of a dynamic team this is your chance!

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

About the Role This is an exciting software engineer role reporting to the Senior Engineering Manager. You will engineer innovative applications and services using Generative AI GenAI You will work with cutting edge technologies creating new experiences and services Key Responsibilities Engineer well architected efficient scalable stable and secure web applications and backend services with an emphasis on APIs and backend services Develop scalable Generative AI systems that can be used across multiple projects and platforms Stay UpToDate with modern software engineering practices procedures and paradigms and apply this knowledge to software Collaborate with an international engineering and product team Experience Please note that you do not need to qualify for all requirements to be considered We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered Bachelor Masters degree in Computer Science Computer Engineering or related field or equivalent experience Python experience GenAI concepts knowledge JS or similar technologies backend Java NET hyperscale's Google Cloud Azure, AWS and have Python experience Experience working with VCS tools such as GIT Experienced in branching merging and building CICD pipelines Experience with security protocols such as oAuth Microsoft Entra ID SSO Okta and securing applications using them, Experience to development and deployment of applications using Docker Kubernetes. Experience working with varied integration patterns REST SOAP gRPC Web Sockets Batch Webhooks Handson experience creating unit test cases integration test cases perform code reviews, Experience managing version control solutions static code analysis and performing code reviews You have experience with load testing troubleshooting and optimizing performance of web services, Clear communication and excellent problem-solving skills, Enjoy working independently and in a team environment Beneficial Experience Experience using Generative AI software engineering solutions such as Cursor Git, Hub CoPilot, Knowledge of reinforcement learning natural language processing and other advanced AI techniques Experience with cloud based AI services and IaaC such as Terraform and Ansible, You have experience working in large data driven services Experience with Generative AI solutions such as Azure AI Studio AWS Bedrock and Hugging Face

Key Responsibilities: Design, develop, implement, support, and maintain Informatica MDM solutions that align with business requirements and data governance policies Configure and customize Informatica MDM hubs Develop data models, matching rules, survivorship rules, and validation processes within the Informatica MDM platform Create and optimize data integration workflows for loading, cleansing, profiling, enriching, and synchronizing master data Implement data quality rules and data standardization processes Design and develop batch and real-time interfaces between MDM and source/target systems Troubleshoot and resolve complex data integration and MDM issues to ensure data integrity and performance Collaborate with data architects to design and implement data governance frameworks Work with business users to gather requirements and translate them into technical specifications Document technical designs, processes, and procedures Create and maintain technical documentation for MDM implementations Perform code reviews and ensure adherence to best practices Provide technical guidance and mentorship to junior team members Stay current with latest developments in Informatica products and MDM technologies  YOU HAVE: A Bachelors or Masters degree in Computer Science, Engineering or a related field. Previous experience in or with 8+ years experience as a Software Engineer, Data Engineer, or Data Analyst 5+ years of experience in data management with at least 3 years of hands-on experience with Informatica MDM Strong understanding of Informatica MDM architecture and components (Hub, Manager, Administrator, Operational UI) Proficiency in Informatica MDM configuration including data models, hierarchies, matching rules, and survivorship rules Experience with Informatica PowerCenter or Informatica Cloud for data integration with MDM Working knowledge of Informatica Data Quality (IDQ) and Address Doctor Strong SQL skills and experience with cloud (Snowflake) and relational databases (SQL Server) Experience with web services and API integration (REST, SOAP) Understanding of data modeling concepts (dimensional modeling, entity relationship diagrams) Knowledge of XML, XSLT, and Java/JavaScript for MDM customization Experience with agile development methodologies Strong problem-solving and analytical skills Excellent communication skills and ability to translate business requirements into technical solutions

About the Role We are seeking a highly skilled Senior Data Engineer with deep expertise in Snowflake and strong proficiency in SQL to join our Data Insights Engineering team The ideal candidate should have handson experience designing and building scalable data pipelines optimizing data warehouses and enabling advanced analytics This role requires strong data engineering fundamentals experience in Pythonbased ETLELT development and working knowledge of BI tools like Tableau to support business stakeholders Key Responsibilities Design develop and maintain data pipelines and workflows on Snowflake Write highly optimized SQL queries transformations and stored procedures for complex data engineering use cases Architect and implement data models schemas and warehouse structures that support analytics and reporting Integrate data from multiple sources databases APIs files streaming into Snowflake using PythonETL frameworks Optimize Snowflake performance warehouses caching clustering partitioning cost control Partner with analysts and business teams to deliver clean reliable datasets for Tableau and other reporting tools Implement data quality checks monitoring and ing for critical pipelines Collaborate with crossfunctional teams Data Scientists Analysts Product Engineering Contribute to best practices in data governance documentation and security Required Skills Experience 7 years of handson Data Engineering experience Strong expertise in Snowflake warehouses roles RBAC tasks streams procedures Snowpark a plus Expertlevel SQL query optimization advanced analytics functions performance tuning Proficiency in Python for ETL ELT scripting and automation Experience with Tableau for dashboarding and data validation Solid knowledge of data modeling data warehousing concepts and ELT pipelines Strong understanding of cloud data platforms AWS preferred Familiarity with CICD Git Docker and orchestration tools Airflow dbt etc

Hands-on experience on Designing, developing, and implementing services using IBM DataPower, including XML Firewalls,Web Service Proxies, and Multi-Protocol Gateways. Hands-on experience on Implementing security policies, configuring SSL/TLS connections, and ensuring secure data exchange Should have working experience in Monitoring system performance, troubleshooting issues, and optimizing DataPowerservice. Should have working experience in Integrating DataPower with other systems and applications, including IBM MQ, Kafka, andvarious data formats. Familiarity with JSON to XML, XML to JSON, and JSON to SOAP transformations using XSLT's Creating XML schema, JSON schema and development using XSLT and WebSphere Transformation Extender (WTX) andconfiguration using DataPower Knowledgeable in creation of XSLT, XSD && WSDL Understanding of DataPower services like multi-protocol gateways, web service proxies, firewalls Should have working experience in Diagnosing and resolving issues related to DataPower services and configurations. Experience in coordination of technical resources Experience in Insurance domain

Technical Business Analyst to drive the successful launch of a digital assistant within our IT support Slack channels This role will analyze employee interactions coordinate crossfunctional teams and ensure the delivery of highquality knowledge articles and automated solutions to enhance our IT support experience Key Responsibilities Analyze IT support Slack channels to identify common employee requests pain points and automation opportunities Collaborate with IT teams to design and implement and comprehensive knowledge articles for the digital assistant and support engineering teams with knowledge data to support agentic actionbased solutions Author review and maintain clear concise and accurate knowledge articles to support automated resolutions Coordinate and provide quality control over high volumes of knowledge articles produced by other teams ensuring consistency and accuracy Act as a project coordinator managing timelines deliverables and communication across multiple teams to ensure a smooth digital assistant launch Gather and document business requirements user stories and process flows to inform solution design Monitor digital assistant performance postlaunch analyze feedback and recommend continuous improvements Champion best practices in conversational design user experience and IT support automation Must be able to work under own initiative delivering high quality results in a very fast paced environment oWe have 20 Support channels each with 1000 unique requests per month and we want to launch a highquality digital assistant in a different support channel every month from August 2025 Design and maintain structured knowledge models and metadata frameworks optimized for GenAI and LLM technologies eg RAGbased architectures Core Skills Required Business Analysis Requirements gathering process mapping gap analysis and translating business needs into technical solutions Data Analysis Ability to analyze large volumes of unstructured data eg Slack conversations to identify trends and automation opportunities Technical Documentation Writing editing and maintaining clear and concise knowledge articles and technical documentation Project Coordination Managing timelines deliverables and crossteam collaboration Quality Assurance Reviewing and validating content and solutions for accuracy consistency and effectiveness Stakeholder Management Engaging with diverse teams IT Knowledge Management Digital Experience etc and managing expectations Change Management Supporting adoption and training for new digital assistant solutions Communication Strong verbal and written communication skills for both technical and nontechnical audiences Problem Solving Proactive approach to identifying issues and proposing effective solutions User Experience UX Understanding of conversational design and usercentric solution development AISpecific Skills Required Conversational AI Design Experience designing testing and optimizing chatbot or digital assistant conversations and flows Natural Language Processing NLP Understanding of NLP concepts intent recognition and entity extraction AI Training Tuning Ability to train AI models using realworld data refine intents and improve accuracy over time Bot Frameworks Platforms Familiarity with platforms such as Dialogflow Microsoft Bot Framework IBM Watson or similar Integration Skills Experience integrating digital assistants with ITSM tools eg ServiceNow APIs and knowledge bases Analytics Monitoring Ability to use analytics tools to monitor bot performance user satisfaction and identify areas for improvement Content Governance Understanding of how to structure and govern knowledge for optimal AI consumption and retrieval Security Compliance Awareness of data privacy security and compliance considerations in deploying AI solutions at scale Experience with knowledge management platforms ServiceNow Knowledge Base Confluence SharePoint etc Understanding of AIGenAI technologies particularly related to large language models LLMs and retrievalaugmented generation RAG Strong data organization skills including taxonomies metadata standards and information architecture Attributes Experience for a Senior Highly Experienced Candidate Leadership Demonstrated ability to lead crossfunctional teams and drive largescale digital transformation initiatives Strategic Vision Experience developing and executing a roadmap for digital assistant implementation in a complex organization Change Agent Proven track record of championing new technologies and driving adoption across diverse user groups Depth of Experience 7 years in business analysis IT transformation or digital experience roles with at least 3 years working directly with AI or digi

Sr Python Gen AI engineers Job Summary Develop generative AI solutions on AWS focusing on LLMs prompt engineering RAG and agentic AI using n8n and Python libraries like LangChain Key Requirements 8 Points 1Build LLMs eg Anthropic Claude on AWS Bedrock with boto3 2Finetune LLMs on AWS SageMaker using transformers and LoRA 3Create prompts with langchain for optimized LLM outputs 4Develop RAG pipelines with AWS OpenSearch and langchain 5Build AI agents with crewai or autogen on AWS Lambda 6Implement agentic workflows in n8n eg n8nioworkflows6270 7Deploy apps with Docker on Amazon ECSEKS 8Monitor performance with Amazon CloudWatch and wandb MustHave Skills 5 years Python experience with 2years in GenAILLMs Expertise in AWS Bedrock SageMaker Lambda boto3 Proficiency in transformers langchain crewai autogen wandb Experience with n8n workflows RAG prompt engineering Preferred Skills AWS certification Machine LearningSolutions Architect Familiarity with llamaindex n8n templates