Role & responsibilities Job Title: Snowflake Data Engineer (Senior Developer/Technical Lead)Location: Bangalore, Hyderabad, Pune, Noida, KolkataWork Experience: 3 to 12 yearsRole & Required Skills:Proven experience in Snowflake.Good experience in SQL and Python.Experience in Data Warehousing.Experience in Data migration from SQL to Snowflake.AWS experience is nice to have.Good communication skills.Responsibilities:Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics).Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.Analyze and translate business needs into long-term solution data models.Evaluate existing data systems.Work with the development team to create conceptual data models and data flows.Develop best practices for data coding to ensure consistency within the system.Review modifications of existing systems for cross-compatibility.Implement data strategies and develop physical data models.Update and optimize local and metadata models.Evaluate implemented data systems for variances, discrepancies, and efficiency.Troubleshoot and optimize data systems.Roles & ResponsibilitiesRole & Required Skills:Proven experience in Snowflake.Good experience in SQL and Python.Experience in Data Warehousing.Experience in Data migration from SQL to Snowflake.AWS experience is nice to have.Good communication skills.Preferred candidate profile Perks and benefits

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description :Role : Senior Lead DatasceintistExp : 18 - 25yearsMode of work : Hybrid ModelWork Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership, and technical proficiency across classical machine learning, deep learning, and generative AI. You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions.Roles & Responsibilities Key ResponsibilitiesPre-Sales & Client EngagementCollaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions.Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients.Translate complex client requirements into actionable project scopes, estimates,and technical proposals.Leadership & Team ManagementProvide direction, mentorship, and performance feedback to a team of data scientists and ML engineers.Establish best practices in solution design, code reviews, model validation, and production deployment.Drive the strategic roadmap for AI initiatives, ensuring alignment with organizational goals and market trends.Classical Machine Learning & Statistical ModelingApply classical machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods) to solve diverse business problems.Design and optimize data pipelines, feature engineering processes, and model selection strategies.Ensure robust model evaluation, tuning, and performance monitoring in production environments.Deep Learning & Generative AIDevelop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems.Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services.Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances.Project Delivery & MLOpsLead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance.Implement MLOps best practices (CI/CD, containerization, model versioning) on cloud or on-premise infrastructures.Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems.Stakeholder Management & CommunicationServe as a key technical advisor to executive leadership, product managers, and client teams.Communicate complex AI/ML findings in clear, actionable terms to both technical and non-technical audiences.Advocate data-driven decision-making and foster a culture of innovation within the organization.Required QualificationsEducation & ExperienceMasters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred.12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity.Technical ExpertisePre-Sales: Demonstrated experience in client-facing roles, solutioning, and proposal development.Classical ML: Skilled in traditional algorithms (regression, classification,clustering, etc.) and statistical methods.Deep Learning: Hands-on expertise with frameworks (e.g., TensorFlow,PyTorch) for CNNs, RNNs, transformer architectures, etc.Generative AI: Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models.MLOps: Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP).Leadership & CommunicationProven ability to mentor and lead data science/ML engineering teams to meet project goals.Exceptional communication skills for presenting to clients, stakeholders, and executive leadership.Experience in agile methodologies and project management, balancing multiple projects simultaneously. Please check below link for organisation details,https://www.tavant.com/If interested , please drop your resume to dasari.gowri@tavant.com RegardsDasari Krishna GowriAssociate Manager - HRwww.tavant.com

Dear candidate, Hope you are doing well!We are seeking an experienced Senior MLOps Architect / Lead ML Engineer to design, implement, and maintain end-to-end ML engineering and MLOps solutions. In this role, you will be responsible for architecting pipelines using tools like MLflow, Feast Feature Store, advanced model serving frameworks, and monitoring systems. You will collaborate with cross-functional teams to ensure efficient, robust, and scalable machine learning operations across the entire lifecycle from development to deployment and beyond.Job Description:Exp: 13 - 21 yearsWork Location: Bangalore/Hyderabad/Noida/Kolkata/PuneRequired Skill:Roles & ResponsibilitiesKey ResponsibilitiesThis role focuses on designing and implementing advanced MLOps architectures, integrating data ingestion, model training, deployment, and monitoring. Responsibilities include selecting and deploying MLOps tools like MLflow and Feast, while ensuring enterprise-grade infrastructure, security, and governance.Key tasks involve developing CI/CD pipelines for automated model workflows, implementing low-latency model serving, and setting up monitoring systems to track model performance and detect drift. Collaboration with data engineering teams ensures efficient data pipelines and feature management.Additionally, the role requires technical leadership, mentoring ML engineers, conducting reviews, and aligning ML solutions with business needs. Staying updated with emerging trends, evaluating new technologies, and ensuring compliance and documentation are also crucial aspectsRequired Qualifications14+ years in data science roles.6+ years of hands-on experience designing and implementing MLOps frameworks.Technical Expertise:MLflow: Proficient with experiment tracking, model registry, and model packaging.Feast Feature Store: Demonstrated experience implementing and managing feature stores at scale.Model Serving: In-depth understanding of deployment strategies (batch/streaming/real-time) using Docker, Kubernetes, or similar tools.Model Monitoring: Experience setting up performance metrics, alerting, and drift detection.Python: Extensive coding experience (data manipulation, building APIs, scripting).Cloud & DevOps: Familiarity with AWS, Azure,or GCP services, CI/CD tools (Jenkins, GitLab CI, etc.), and infrastructure-as-code (Terraform, CloudFormation).Soft Skills:Strong communication skills to articulate complex technical solutions to various stakeholders.Leadership and team-building capabilities, with a track record of mentoring engineers and data scientists.Problem-solving mindset with the ability to handle ambiguity and drive results in a fast-paced environment. Please check below link for organisation details,https://www.tavant.com/If interested , please drop your resume to dasari.gowri@tavant.com RegardsDasari Krishna GowriSenior Executive HRwww.tavant.com

Key responsibilities • Lead and manage a team of engineers, providing guidance, support, and mentorship to help them achieve their full potential.• Collaborate with cross-functional teams, including product management, design, and quality assurance, to develop and implement technology solutions that meet the needs of our customers and business goals. • Drive the technical direction and strategy for the team, identifying opportunities for innovation and continuous improvement.• Oversee the development and maintenance of software and hardware systems, ensuring that they meet quality standards and performance requirements.• Manage the engineering budget and resources, making strategic decisions to optimize team productivity and efficiency. Qualifications Required• Leadership and Mentorship: Inspire and mentor the engineering team, fostering growth, collaboration, and innovation.• Project Management: Oversee project execution, ensuring alignment with goals, timelines, and resource allocation. • Technical Expertise: Provide technical direction, leveraging expertise to guide and support the team. • Communication and Collaboration: Facilitate effective communication across teams, aligning engineering with business objectives.• Strategic Planning and Decision Making: Drive long-term planning, set goals, and make critical decisions for team and company success.. PLEASE NOTE - WE ARE LOOKING FOR ENGINEERING MANAGERS WHO ARE FLUENT IN TECHNICAL & PROJECT MANAGER ROLES. SO WE ARE PREFERRING CANDIDATES WHO HAVE THEIR INITIAL YEARS OF EXPERIENCE AS A DEVELOPER IN JAVA/PYTHON/DATA ENGG(QA NOT PREFERRED)

Experience: 10+ years of experience in frontend development, with at least 3-5 years in asenior/lead or architectural role working with Angular and related technologies (e.g., TypeScript, RxJS, NGRX). Should have knowledge of latest angular versions. Expertise: Deep understanding of Angular architecture, component-based design, state management, and best practices for performance optimization. Leadership: Proven experience in managing and mentoring development teams, with the ability to inspire, motivate, and guide developers to achieve project goals. Scalable Systems: Experience designing and building scalable, responsive, and high- performance user interfaces and web applications. Collaboration Skills: Strong communication and interpersonal skills, with the ability to collaborate effectively across teams and with both technical and non-technical stakeholders. Technical Stack Knowledge: In-depth knowledge of frontend build tools and CI/CD pipelines, HTML5, CSS3, JavaScript/TypeScript, and related frameworks/libraries. Testing: Experience with test-driven development (TDD) and frontend testing frameworks (e.g., Jasmine, Karma, Cypress, jest) Problem-Solving: Excellent analytical and problem-solving skills with the ability to think strategically and implement practical solutions. Role & responsibilities Preferred candidate profile Perks and benefits

Role & responsibilities We are seeking an experienced Angular Architect to join our team and play a pivotal role in shapingand delivering scalable, high-performance UI solutions for our web applications. In this leadershiprole, you will be responsible for managing a team of 10-15 developers, setting technical direction,and ensuring the successful delivery of complex projects from the ground up. The ideal candidatewill have a strong background in Angular, web application architecture, and team leadership, with apassion for building clean, maintainable, and scalable frontend solutions.Key Responsibilities: Architecture & Design: Lead the design and implementation of scalable and maintainable UIarchitectures using Angular, ensuring best practices are followed and code quality is maintained. Team Leadership: Manage and mentor a team of 10-15 developers, guiding them throughtechnical challenges, providing growth opportunities, and fostering a collaborative, high-performance culture. Technical Direction: Define and enforce coding standards, development processes, and overalltechnical strategy for the frontend team. Collaboration: Work closely with product managers, UX/UI designers, and backend teams todefine requirements and deliver optimal solutions. Code Quality & Performance: Oversee the development of modular, reusable, and high-performance code, ensuring the application is scalable and meets business requirements. Stakeholder Communication: Serve as a technical point of contact for stakeholders, providingregular updates on project progress, risks, and key decisions. Continuous Improvement: Stay up-to-date with the latest trends in frontend development,Angular, and web technologies, and recommend improvements to processes, tools, andtechnologies. Mentorship: Provide technical guidance, code reviews, and training to developers, ensuring aconsistent approach to coding and problem-solving across the team. Problem-Solving: Troubleshoot complex technical issues and design innovative solutions toovercome challenges in scalability, performance, and user experience.Roles & ResponsibilitiesRequirements: Experience: 10+ years of experience in frontend development, with at least 3-5 years in asenior/lead or architectural role working with Angular and related technologies (e.g., TypeScript,RxJS, NGRX). Should have knowledge of latest angular versions. Expertise: Deep understanding of Angular architecture, component-based design, statemanagement, and best practices for performance optimization. Leadership: Proven experience in managing and mentoring development teams, with the abilityto inspire, motivate, and guide developers to achieve project goals. Scalable Systems: Experience designing and building scalable, responsive, and high-performance user interfaces and web applications. Collaboration Skills: Strong communication and interpersonal skills, with the ability tocollaborate effectively across teams and with both technical and non-technical stakeholders. Technical Stack Knowledge: In-depth knowledge of frontend build tools and CI/CD pipelines,HTML5, CSS3, JavaScript/TypeScript, and related frameworks/libraries. Testing: Experience with test-driven development (TDD) and frontend testing frameworks (e.g.,Jasmine, Karma, Cypress, jest) Problem-Solving: Excellent analytical and problem-solving skills with the ability to thinkstrategically and implement practical solutions.Preferred Qualifications: Experience with other frontend frameworks/libraries such as React or Vue.js. Familiarity with backend technologies or full-stack development. Experience in agile methodologies and tools (e.g., Scrum, JIRA, Confluence). Knowledge of cloud platforms (AWS, Azure) and serverless architectures. A relevant degree in Computer Science, Engineering, or a related field.

Role & responsibilities As a Senior Information Security Analyst, you will play a crucial role in protecting our organization's information assets. You will be responsible for identifying, assessing, and mitigating security risks, as well as developing and implementing security policies and procedures. This role requires a deep understanding of information security practices, technologies, and compliance requirements. Preferred candidate profile 4+ years of experience in information security, with a focus on threat assessment, incident response, and security compliance.- Strong knowledge of security standards and frameworks (e.g., NIST, SCO2, ISO 27001, ISO 27701) and industry regulations (e.g., GDPR, CCPA).- Knowledge in security technologies (e.g., SIEM, IDS/IPS, firewalls, endpoint protection).- Experience with vulnerability assessment tools and methodologies.- Strong analytical and problem-solving skills with an attention to detail.- Excellent communication skills, both written and verbal, with the ability to present complex security concepts to non-technical stakeholders.- Relevant certifications such as CISSP, CISM, CEH, or equivalent are highly desirable.

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description :Role : Data Scientist / Technical leadExp : 5 - 7 yearsMode of work : Hybrid ModelWork Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking an experienced Data Scientist to join our team. The ideal candidate should have 5-7 years of experience in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing complex datasets, building predictive models, and delivering insights to support business decisions.Key Responsibilities:Develop and implement machine learning models and algorithms.Analyze large datasets to extract meaningful insights and trends.Collaborate with cross-functional teams to solve business problems using data-driven approaches.Build and optimize data pipelines for efficient data processing.Communicate findings through reports, dashboards, and visualizations.Requirements:5-7 years of experience in data science or a related field.Strong proficiency in Python, SQL, and data visualization tools.Good experience on classification , regression Models.Experience with machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow).Solid understanding of statistical analysis, predictive modeling, and data mining techniques.Hands-on experience with data wrangling and feature engineering.Excellent problem-solving and communication skills.Preferred Qualifications:Experience with cloud platforms (AWS, GCP, Azure).Knowledge of big data technologies (Spark, Hadoop).Experience in time series forecasting, anomaly detection, or recommendation systems Please check below link for organisation details,https://www.tavant.com/If interested , please drop your resume to dasari.gowri@tavant.com RegardsDasari Krishna GowriAssociate Manager - HRwww.tavant.com

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description :Role : Technical Architect / Senior Technical ArchitectExp : 12 - 25 yearsMode of work : Hybrid ModelWork Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Job Summary:We are seeking an experienced Azure Data Platform Architect to design and lead the development of modern, scalable, cloud-native data platforms leveraging Microsoft Azure services. The ideal candidate will have deep expertise in Azures data ecosystem, strong data architecture skills, and hands-on experience in SQL and data analysis.Knowledge of AI/ML and Generative AI (GenAI) concepts is a plus, but the core focus is on building robust data pipelines, data lakes, real-time streaming architectures, and analytics capabilitiesKey Responsibilities:Platform Architecture & DesignDesign and architect end-to-end data platforms on Microsoft Azure, balancing performance, scalability, and cost optimization.Lead the design of data ingestion pipelines supporting batch, real-time, and event-driven data processing.Define data modeling strategies for raw and curated datasets in Data Lake environments.Ensure architecture aligns with enterprise data governance, security, and compliance standards.Azure Data Platform ImplementationBuild and optimize data pipelines and data engineering workflows using:Azure Data Factory, Azure Databricks,Azure Data Lake Storage Gen2, Azure Synapse Analytics,Azure Stream Analytics,Azure IoT Hub / Telemetry Ingestion (if applicable) ,Azure Logic Apps / Function AppsSupport event-driven processing and complex event stream analytics.Integrate with enterprise systems, APIs, and external data sources.Data Analysis, Governance, and SecurityPerform advanced SQL querying and data analysis to support business insights, model validation, and platform optimization.Implement robust data governance, data quality frameworks, and metadata management.Ensure secure data platform operations, including encryption, role-based access controls, and secrets management using Azure Key Vault.Set up monitoring, logging, and alerting for operational health and reliability.Collaboration & LeadershipAct as the data architecture lead, working closely with engineering teams, data scientists, and business stakeholders.Provide best practices and technical leadership for data modeling, pipeline development, and analytics enablement.Mentor team members and guide project delivery with a focus on engineering excellence.Required Skills & Experience:12+ years of experience in data engineering, architecture, or related fields.5+ years of experience designing and implementing Azure-based data platforms.Hands-on expertise with core Azure services:Azure Data Factory, Databricks, Synapse, Data Lake Storage Gen2Real-time streaming tools like Azure Stream AnalyticsAzure Logic Apps / Function AppsStrong SQL skills and experience performing data analysis directly on large datasets.Proficiency in Python, PySpark, or equivalent programming languages.Deep understanding of data modeling, data governance,and cloud security best practices.Experience in CI/CD pipelines and DevOps practices for data platforms.Nice to Have:Familiarity with AI/ML pipelines and basic knowledge of Generative AI (GenAI) use cases such as:AI-driven summarizationNatural language query over dataAdvanced predictive analyticsExperience integrating Azure Machine Learning (Azure ML) or similar frameworks.Exposure to LLMs (Large Language Models) and modern GenAI platforms is a plus.Knowledge of data visualization tools like Power BI or equivalent. Please check below link for organisation details,https://www.tavant.com/If interested , please drop your resume to dasari.gowri@tavant.com RegardsDasari Krishna GowriAssociate Manager - HRwww.tavant.com