Experience: 6 to 9 years Location: [Chennai, Bangalore & Hyderabad] Immediate Joiner or serving Notice Period Preferred.Job Summary:We are looking for a skilled Data Engineer to design, build, and optimize data solutions leveraging Big Data, Cloud, and Open-Source technologies on Azure, AWS, GCP, and Snowflake. In this role, you will work with structured and unstructured data, develop scalable data pipelines, and collaborate with cross-functional teams to drive impactful analytics solutions.Key Responsibilities:Design and develop scalable, metadata-driven data ingestion pipelines for batch and streaming datasets.Implement high-performance data processing solutions for data harmonization and transformation.Develop and manage orchestration, scheduling, and validation for data pipelines.Implement exception handling, monitoring, and logging for debugging and performance tuning.Collaborate with Consulting, Data Science, and Application Development teams to deliver analytical solutions.Work with big data technologies such as Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, and Elastic Search.Design and build REST APIs to facilitate seamless data integration.Ensure data governance, security, and accessibility for BI and Data Science teams.Required Qualifications:6 to 9 years of IT experience, with at least 4+ years in Big Data Engineering on AWS, Azure, GCP, or Snowflake.Hands-on experience in building Data Lakes using: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL DatabaseAzure Synapse Analytics, Event Hub, Streaming Analytics, Cosmos DB, PurviewStrong programming and debugging skills in SQL, Python, Scala, or Java.Experience working with Delta Lake, Avro, Parquet, JSON, CSV file formats.Knowledge of Data Lake and Lakehouse architectures.Preferred Qualifications (Good to Have):Experience with building REST services and implementing service-oriented architectures.Certifications in AWS, Azure, GCP, or Snowflake Data Engineering.Experience supporting BI and Data Science teams in secure and governed data consumption.

We are looking for a Pr. Data Architects to be based out of our Chennai/ Bangalore/Pune /Hyderabad. This role involves a combination of hands-on contribution, customer engagement and technical team management. As a Data Architect, you will,Collaborate with architects providing directions & guidance to design and maintain data management solutions on the Azure Cloud using various PaaS services, Big data technologies and open-source frameworks Lead initiatives to build practice-level capabilities not limited to creating POVs, case studies, building/enhancing accelerators, mentoring, brainstorming, partnership (Azure, Databricks), validate architectural patterns & recommendations and representing the practice in technical summits. Manage the full life cycle of a large Data Lake / Lake house / Data mesh implementation from Discovery & assessment, architectural alignment & design, define standards, and best practices, guide architects & team during implementation and deployment. Drive proposals (RFPs/RFIs), and opportunities from the technical solution standpoint. Collaborate with a team of business domain experts, data scientists and application developers to develop solutions. Explore and learn new technologies for creative business problem-solving and mentor a team of Data Engineers Required Experience, Skills & Competencies: Implementation experience of various data management projects but not limited to data platform modernization, data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases handling streaming, unstructured data, Gen AI integration Experience in designing well-architected data management solution, defining standards & best practices for data security, data classification, data governance (quality, lineage), data sovereignty, compliance, optimization, and cost management Expertise in conducting discovery & assessment workshops that involves multiple stakeholders, driving discussions, capturing pain-points/wish lists, brainstorming, align on technical architecture and create a roadmap for data lake/lake house implementation. Strong hands-on experience in implementing data lake using technologies such as Databricks Spark, Microsoft Fabric, Data Factory, Azure Data Lake Excellent understanding of various architectural patterns to ingest, and process data from batch and streaming data sources Strong programming skills in Python/Scala, Pyspark, SQL Ability to understand data (attributes, metrics), relate to reporting/analytical use- cases of various business functions at a high level and include those nuances in the design for scalability, and availability Hands-on experience or exposure to NoSQL databases, data modeling Experience in setting up consumption layer and serving data assets in a secure way for BI reporting, Adhoc analytics, DS/ML use-cases, and external users

Job Title : Senior Analyst / Data Scientist - NLP/Gen AILocation : Chennai, Bangalore, Hyderabad, Delhi/NCRWho we areTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India MagazineCurious about the role? What your typical day would look like?As a Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. What do we expect?Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Job Title : Senior Analyst / Data Scientist - NLP/Gen AILocation : Chennai, Bangalore, Hyderabad, Delhi/NCRWho we areTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India MagazineCurious about the role? What your typical day would look like?As a Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. What do we expect?Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Role As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.What do we expect?6-10 years of total DS and model development experienceA passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on roleHaving good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQLEncourage collaboration with various stakeholders and take complete ownership of deliverables.Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situationsEffective mentoring of a team with expertise in industry/domain/functional areas.You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Need Immediate joiner only Must haves: ( Datalake + Pyspark) & building data lake in any cloud ( AWS/ GCP/ Azure)Good to have: ETL, Snowflake Exp- 7 to 9 yrs7 to 9 years of total IT experience in big data engineering andAWS/Azure/GCP/Snowflake• Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark,Databricks, ADLS, Azure SQL Database• A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub &Streaming Analytics, Cosmos DB, and Purview• A passion for writing high-quality code and the code should be modular, scalable, and free of bugs(debugging skills in SQL, Python, or Scala/Java).• Enthuse to collaborate with various stakeholders across the organization and take completeownership of deliverables.• Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J,Elastic Search• Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV• Good knowledge of building and designing REST APIs with real-time experience working on DataLake or Lakehouse projects.• Experience in supporting BI and Data Science teams in consuming the data in a secure andgoverned mannerGood to have: Experience of working on Data Lake & Lakehouse projects Experience of building REST services and implementing service-oriented architectures. Experience of supporting BI and Data Science teams in consuming the data in a secure andgoverned manner. Certifications like Data Engineering on AWS/Azure/GCP/Snowflake

About the Role: Work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to one or more clients in the insurance / healthcare industries. Lead multiple project teams consisting of consultants, analysts, data scientists, BI experts, data / ML engineers etc. Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions Translate those business problems (sometimes ambiguous) into clear analytics problem statements Design plans to develop and deploy advanced analytics and data solutions with a product mindset in collaboration with internal CoEs e.g. Cloud, Engineering, Data Sciences, MLOps etc. Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities. Measure and articulate how analytics results improve clients business & financial metrics. Contribute to organization building through training, mentoring and developing repeatable analytics approachesResponsibilities Minimum 7-10 years of relevant work experience in delivering advanced analytics, engineering and BI solutions through analytics consulting Minimum 2-3 years experience in working with and leading multidisciplinary teams In depth understanding of healthcare industries and related functional areas Ability to translate high level business problems to an analytics and data problem statement Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions with a product mindset Knowledge of DS / ML / DE/ AI techniques - when and why they are used and interpretation of results from a business viewpoint Ability to discover patterns in data and deliver impactful insights in the context of client decision making Experience in stakeholder management, driving project governance, and linking analytics to business value delivered Hands-on experience in data handling using SQL and advanced analytics tools such as R and / or Python Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI Excellent written, oral, presentation, interpersonal and stakeholder management skills.Mandatory Skill : OCR or Optical Character Recognition along with Analytics, Data science and ML.

Need Immediate/Serving NP candidateMust have skills- MLops,End to End deployment,Data pipeline,Python,Machine Learning Curious about the role? What your typical day would look like?We are looking for a Senior Analyst or Machine Learning Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you willEngage with clients to understand their business context.Translate business problems and technical constraints into technical requirements for the desired analytics solution.Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.What do we expect?3+ years of experience with at least 1+ years of relevant DS experience.Proficient in a structured Python (Mandate)Proficient in any one of cloud technologies is mandatory ( AWS/ Azure/ GCP)Follows good software engineering practices and has an interest in building reliable and robust software.Good understanding of DS concepts and DS model lifecycle.Working knowledge of Linux or Unix environments ideally in a cloud environment.Working knowledge of Spark/ PySpark is desirable.Model deployment / model monitoring experience is desirable.CI/CD pipeline creation is good to have.

JOB DESCRIPTION:Tiger Analytics is global analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset.Working at Tiger, youll be at the heart of this AI revolution. Youll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. We are headquartered in the Silicon Valley and have our delivery centres across the globe. About the role: As a Data Analyst , you will help translate business problems into unambiguous analytic problem statements and design analytical frameworks to address them. On a typical work day, you could be doing one or more of the following: Collaborate with the team of data scientists and engineers to plan and drive the execution of business solutionsContribute to client presentations, reports Handle client discussions in structured project settings EXPERTISE AND QUALIFICATIONS:Data handling proficiency: Knowledge of querying data using SQL on traditional RDBMS databases, and/or big data environments such as Hadoop/Hive/Spark. Ability to analyse and visualize data one or more tools such as Tableau, PowerBI, Qlikview. Experience (basic to intermediate) in DS/ML/AI programming tools such as R/Python/SAS. Appreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are used and to interpret results from a business viewpoint (the expectation is not a data scientist expert level proficiency, but a clear conceptual understanding). Ability to leverage analytics to solve structured or unstructured problems and interpreting results. Appreciation for how analytics is used in one or more functional areas such as Customer / CRM, Marketing, Operations & Planning, Risk, and one or more industry verticals like Retail, CPG, FMCG etc.Excellent presentation and communication skills. 4-6 years of relevant experience.

About the role:We are looking for a Pr. Data Architects to be based out of our Chennai office or Bangalore or Pune or Hyderabad. With experience range of 15 Years or above 15 years.This role involves acombination of hands-on contribution, customer engagement and technical team management. As a Data Architect, you will Collaborate with architects providing directions & guidance to design and maintain data management solutions on the Azure Cloud using various PaaS services, Big data technologies and open-source frameworksLead initiatives to build practice-level capabilities not limited to creating POVs, case studies,building/enhancing accelerators, mentoring, brainstorming, partnership (Azure, Databricks), validatearchitectural patterns & recommendations and representing the practice in technical summits. Manage the full life cycle of a large Data Lake / Lake house / Data mesh implementation from Discovery &assessment, architectural alignment & design, define standards, and best practices, guide architects & teamduringimplementation and deployment. Drive proposals (RFPs/RFIs), and opportunities from the technical solution standpoint. Collaborate with a team of business domain experts, data scientists and application developers to develop solutions. Explore and learn new technologies for creative business problem-solving and mentor a team of Data EngineersRequired Experience, Skills & Competencies: Implementation experience of various data management projects but not limited to data platform modernization,data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases handlingstreaming, unstructured data, Gen AI integration Experience in designing well-architected data management solution, defining standards & best practices fordata security, data classification, data governance (quality, lineage), data sovereignty, compliance, optimization,and cost management Expertise in conducting discovery & assessment workshops that involves multiple stakeholders, drivingdiscussions, capturing pain-points/wish lists, brainstorming, align on technical architecture and create a roadmapfor data lake/lake houseimplementation. Strong hands-on experience in implementing data lake using technologies such as Databricks Spark, MicrosoftFabric, Data Factory, Azure Data Lake Excellent understanding of various architectural patterns to ingest, and process data from batch and streamingdata sources Strong programming skills in Python/Scala, Pyspark, SQL Ability to understand data (attributes, metrics), relate to reporting/analytical use- cases of various businessfunctions at a high level and include those nuances inthe design for scalability, and availability Hands-on experience or exposure to NoSQL databases, data modeling Experience in setting up consumption layer and serving data assets in a secure way for BI reporting, Adhocanalytics, DS/ML use-cases, and external users.Interested People can DM or share your updated resumes to chiranjeevi.chat@tigeranalytics.com

Graph Architect We are seeking a highly skilled and experienced Graph Architect with 7+ years of overall experience in data architecture, including 4+ years of hands-on expertise in graph technologies like Neo4j, Amazon Neptune, and related tools. The ideal candidate will design and implement graph-based solutions, support pre-sales activities, drive proposal development, and lead teams while engaging with stakeholders. Hands on in Generative AI (GenAI) and Graph RAG (Retrieval Augmented Generation) is highly preferred, enabling the creation of intelligent and context-aware graph-driven solutions. Key Responsibilities: 1. Graph Data Modeling & Architecture Design and implement graph data models tailored for complex business use cases using Neo4j, Amazon Neptune, and other graph databases. Develop schema-less or hybrid graph solutions optimized for scalability and performance. Architect and manage graph pipelines that enable advanced AI-powered insights, including RAG workflows. 2. Pre-sales & Proposal Support Collaborate with sales and business development teams to understand customer challenges and propose graph-based solutions, incorporating GenAI and RAG approaches where relevant. Deliver impactful technical presentations, Proof of Concepts (PoCs), and prototypes showcasing graph-powered AI capabilities. Write detailed proposals, including architecture diagrams, AI integration strategies, and ROI-focused solutions. 3. GenAI & Graph RAG Enablement Integrate Generative AI models with graph databases to enable contextual retrieval and augmented insights. Design workflows where graph structures enhance LLM (Large Language Model) capabilities in RAG-based applications. Leverage knowledge graphs to improve accuracy, reasoning, and real-time contextual understanding in AI models. 4. Team Leadership & Stakeholder Management Lead and mentor technical teams, ensuring successful delivery of graph and AI-powered projects. Act as a liaison between technical teams and business stakeholders, ensuring project alignment with organizational goals. Oversee project timelines, budgets, and risks while ensuring optimal resource utilization. 5. Development & Integration Design and optimize graph queries using Cypher, Gremlin, or SPARQL for advanced analytics. Integrate graph databases with visualization platforms (e.g., Bloom, Tableau) and GenAI pipelines. Enhance system performance and scalability in graph-augmented applications. 6. Contextual Insights & Innovation Collaborate with data architects, analysts, and AI teams to uncover hidden patterns, insights, and contextual relationships in data. Stay abreast of emerging technologies in graph databases, GenAI, and RAG techniques to drive innovation and value creation. Required Skills & Qualifications: • Experience: 7+ years of overall experience in data architecture, with at least 4+ years of hands-on experience in graph database technologies like Neo4j and Amazon Neptune. Proven experience working on GenAI projects or Graph RAG pipelines. • Graph Database Expertise: Strong skills in graph modeling, schema design, and optimization using Neo4j, Amazon Neptune, or similar platforms. • AI Integration: Familiarity with integrating graph databases into Generative AI and RAG workflows. • Query Languages: Proficiency in Cypher, Gremlin, and SPARQL. • Pre-sales Experience: Demonstrated ability to deliver technical presentations, create PoCs, and write proposals. • Team Management: Strong experience leading teams and managing stakeholder relationships. • Soft Skills: Exceptional communication, problem-solving, and collaboration abilities. Preferred Qualifications: • Certification in Neo4j or equivalent graph database technologies. • Experience with cloud platforms (Azure, AWS, GCP) for deploying graph and AI solutions. • Hands-on knowledge of GenAI frameworks (e.g., OpenAI, Hugging Face) and RAG workflows. • Familiarity with knowledge graphs and their role in AI-enhanced applications. Why Join Us? • Be at the forefront of innovation by combining graph technology with AI-driven applications. • Work on cutting-edge projects that shape the future of intelligent and contextual business solutions. • Collaborate with a dynamic team and enjoy opportunities for continuous learning and career growth.

We are looking for a Senior Analyst or Machine Learning Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will.Engage with clients to understand their business context.Translate business problems and technical constraints into technical requirements for the desired analytics solution.Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Key Qualifications :3+ years of experience with at least 1+ years of relevant DS experience.Proficient in a structured Python (Mandate).Proficient in any one of cloud technologies is mandatory ( AWS/ Azure/ GCP).Follows good software engineering practices and has an interest in building reliable and robust software.Good understanding of DS concepts and DS model lifecycle.Working knowledge of Linux or Unix environments ideally in a cloud environment.Working knowledge of Spark/ PySpark is desirable.Model deployment / model monitoring experience is desirable.CI/CD pipeline creation is good to have.Excellent written and verbal communication skills.

Curious about the role? What your typical day would look like?6+ years of relevant DS experienceProficient in a structured PythonProficient in any one of cloud technologies is mandatory (AWS/ Azure)Follows good software engineering practices and has an interest in building reliable and robust softwareGood understanding of DS concepts and DS model lifecycleWorking knowledge of Linux or Unix environments ideally in a cloud environmentWorking knowledge of Spark/ PySpark is desirableModel deployment / model monitoring experience is mandatoryCI/CD pipeline creation is good to haveExcellent written and verbal communication skillsB.Tech from Tier-1 college / M.S or M. Tech is preferred

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients.Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact.Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results.Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation.Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications.Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.What do we expect?Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

As a Quality Engineer - Data, you will be involved in every phase of SDLC and focus on Functional testability, Automation and Performance of the software. More specifically, you will work on:Selecting and integrating Data tools and frameworks required to provide requested capabilities.Technical guidance for software engineers engaged in the design, coding, reviewing, and testing of enterprise softwareCollaborate with Data Scientists, Data Engineers, and Software Engineers to understand data and models to develop QA tests to validate.Implementing the ETL testing processExternal Skills And ExpertiseReview Data Models, Data Mappings, and Architectural Documentation to create/execute effective SIT Test suitAbility to transform complex Business logic into SQL or PL/SQL queriesValidates data by running queries in the database and verifying that the results match the expectationsExperience with integration of data from multiple data sourcesGood understanding of Big Data & Cloud conceptsKnowledge of database and data warehouse concepts, such as star schemas, snowflakes, dimensions, and factsHands-on experience in automation testing on dataKnowledge of programming languages E.g. PythonAnalysis and troubleshooting erroneous results, determining the root cause of defects, and logging defects in defect management tools, including working with the development team on the resolution of Software related defectsWorks closely with the Software development team (Business Analysts, Developers & other testers) to ensure timely and effective testing effortStrong analytical and excellent communication skillsExperience with BI tools like PowerBI and Tableau is a plus

Role & responsibilities 15+ years of experience in delivering comprehensive BI solutions (Power BI, Tableau & Qlik) and 5+ years of experience in Power BI Real-time experience working in OLAP & OLTP database models (Dimensional models). Extensive knowledge and experience in Power BI capacity management, license recommendations, performance optimizations and end to end BI (Enterprise BI & Self-Service BI). Real-time experience in migration projects. Comprehensive knowledge of SQL & modern DW environments (Synapse, Snowflake, Redshift, Big Query etc). Effortless in relational database concepts, flat file processing concepts, and software development lifecycle. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP). Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.Preferred candidate profileAs a Principal Architect, you will work to deliver the vision of the department through process, development, and lifecycle.; Seamlessly switch between roles of an Individual Contributor, team member, and Power BI Architect as demanded by each project to define, design, and deliver actionable insights.On a typical day, you might Develop and maintain the Data layer (DM or DWH) for the aggregation, validation, and presentation of data for reporting layer. Develop or coach the team members to develop reports, dashboards, and related database views/stored procedures. Evangelize self-service BI and visual discovery. Lead multiple projects and provide solutions Design & promote best BI practices by championing data quality, integrity, and reliability. Coach BI team members as a technology SME. Provide on-the-job training for new or less experienced team members. Partner with the sales and presales team to build BI-related solutions and proposals. Ideate an end-end architecture for a given problem statement. Interact and collaborate with multiple teams (Data Science, Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.

Data Scientist:4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.Good communication skills, both verbal and written.Exhibit a fervour for crafting modular, scalable, and bug-free Python code.Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.Experience in production engineering best practices (e.g. Git versioning, Docker).Excitement to collaborate with diverse stakeholders across the organisation.In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.Hunger to learn new technologies and embrace the change.Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.Kindly share your updated resume to this mail Id hari.chandana@tigeranalytics.com

Data Scientist:4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.Good communication skills, both verbal and written.Exhibit a fervour for crafting modular, scalable, and bug-free Python code.Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.Experience in production engineering best practices (e.g. Git versioning, Docker).Excitement to collaborate with diverse stakeholders across the organisation.In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.Hunger to learn new technologies and embrace the change.Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.

Immediate joiners preferred/Serving NP preferredMandate skills- MLOPS, End - End Deployment,Data pipeline,Machine learning,Model building,Model development 6+ years exp of which 3+ years of relevant data science experience and at least 3 years of software development experience.Experience in devising creative analytical approaches to solve business problemsDeveloping and enhancing algorithms and models to solve business problemMaintaining all models along with development and updating of code and process documentationDesigning a solution approach, leading a team to deploy and maintain it in production.Proficient in Structured programming language is a must - such as Python, C/C++, Java is mandatory.Cloud concepts and significant hands-on experience with at least one cloud provider. Should be knowledgeable about the pros and cons of the various services and comfortable discussing the tradeoffs with stakeholders.Strong SQL skills.Good knowledge of Data science approaches, machine learning algorithms and statistical methods.ETL and Data Engineering pipelines using Spark/PySpark.Workflow orchestration tools like Airflow.

Curious about the role? What your typical day would look like?As a Senior Data Engineer, you will work to solve some of the organizational data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member and Data Modeling lead as demanded by each project to define, design, and deliver actionable insights.On a typical day, you might• Engage the clients & understand the business requirements to translate those into data models.• Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.• Contribute to Data Modeling accelerators• Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.• Gather and publish Data Dictionaries.• Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.• Use the Data Modelling tool to create appropriate data models.• Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.• Use version control to maintain versions of data models.• Collaborate with Data Engineers to design and develop data extraction and integration code modules.• Partner with the data engineers to strategize ingestion logic and consumption patterns.Job RequirementExpertise and QualificationsWhat do we expect?• 6+ years of experience in Data space.• Decent SQL skills.• Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)• Real-time experience working in OLAP & OLTP database models (Dimensional models).• Good understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.• Eye to analyze data & comfortable with following agile methodology.• Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP).You are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry

Curious about the role? What your typical day would look like?As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.On a typical day, you might• Engage the clients & understand the business requirements to translate those into data models.• Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.• Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.• Use the Data Modelling tool to create appropriate data models• Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.• Gather and publish Data Dictionaries.• Ideate, design, and guide the teams in building automations and accelerators• Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.• Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.• Use version control to maintain versions of data models.• Collaborate with Data Engineers to design and develop data extraction and integration code modules.• Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing.• Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders.• Work with the client to define, establish and implement the right modelling approach as per the requirement• Help define the standards and best practices• Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.• Coach team members, and review code artifacts.• Contribute to proposals and RFPsJob RequirementWhat do we expect?• 10+ years of experience in Data space.• Decent SQL knowledge• Able to suggest modeling approaches for a given problem.• Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)• Real-time experience working in OLAP & OLTP database models (Dimensional models).• Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.• Eye to analyze data & comfortable with following agile methodology.• Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)• Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.• Experience in contributing to proposals and RFPs• Good experience in stakeholder management• Decent communication and experience in leading the teamYou are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Role & responsibilities • Minimum 15 years of experience • Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies. • Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases. • Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server) • Good understanding of Relational, Dimensional, Data Vault Modelling • Experience in implementing 2 or more data models in a database with data security and access controls. • Good experience in OLTP and OLAP systems • Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources. • Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse) • Experience on one or more cloud platforms (e.g. AWS, Azure, GCP) • Understanding of DevOps processes • Hands-on experience in one or more Data Modelling Tools • Good understanding of one or more ETL tool and data ingestion frameworks • Understanding of Data Quality and Data Governance • Good understanding of NoSQL Database and modeling techniques • Good understanding of one or more Business Domains • Understanding of Big Data ecosystem • Understanding of Industry Data Models • Hands-on experience in Python • Experience in leading the large and complex teams• Good understanding of agile methodology • Extensive expertise in leading data transformation initiatives, driving cultural change, and promoting a data driven mindset across the organization. • Excellent Communication skills • Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models. • Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models data warehouse etc. • Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling. • Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects. • Suggest best modelling approach to the client based on their requirement and target architecture. • Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details. • Profile the Data sets to generate relevant insights. • Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns. • Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance. • Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform. • Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc. • Guide /mentor team members, and review artifacts. • Contribute to the overall data strategy and roadmaps. • Propose and execute technical assessments, proofs of concept to promote innovation in the data space.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.Key Responsibilities:Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients.Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact.Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results.Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation.Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications.Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.

Job Title : Senior Analyst / Data Scientist - NLP/Gen AILocation : Chennai, Bangalore, Hyderabad, Delhi/NCR Who we are --Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine What do we expect?Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.Hands-On Data Science Experience: 3+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Role & responsibilities Develop and maintain the Data layer (DM or DWH) for the aggregation, validation, and presentation of data for reporting layer. Develop or coach the team members to develop reports, dashboards, and related database views/stored procedures. Evangelize self-service BI and visual discovery. Lead multiple projects and provide solutions Design & promote best BI practices by championing data quality, integrity, and reliability. Coach BI team members as a technology SME. Provide on-the-job training for new or less experienced team members. Partner with the sales and presales team to build BI-related solutions and proposals. Ideate an end-end architecture for a given problem statement. Interact and collaborate with multiple teams (Data Science, Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.Preferred candidate profile 16+ years of experience in delivering comprehensive BI solutions (Power BI, Tableau & Qlik) and 5+ years ofexperience in Power BI Real-time experience working in OLAP & OLTP database models (Dimensional models). Extensive knowledge and experience in Power BI capacity management, license recommendations, performanceoptimizations and end to end BI (Enterprise BI & Self-Service BI) Real-time experience in migration projects. Comprehensive knowledge of SQL & modern DW environments (Synapse, Snowflake, Redshift, BigQuery etc). Effortless in relational database concepts, flat file processing concepts, and software development lifecycle. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP). Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.You are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today,we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, andencourage people to grow the way they desire.

Role & responsibilities As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.On a typical day, you mightEngage the clients & understand the business requirements to translate those into data models.Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.Use the Data Modelling tool to create appropriate data modelsCreate and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.Gather and publish Data Dictionaries.Ideate, design, and guide the teams in building automations and acceleratorsInvolve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.Use version control to maintain versions of data models.Collaborate with Data Engineers to design and develop data extraction and integration code modules.Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing.Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders.Work with the client to define, establish and implement the right modelling approach as per the requirementHelp define the standards and best practicesInvolve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.Coach team members, and review code artifacts.Contribute to proposals and RFPsPreferred candidate profile 10+ years of experience in Data space.Decent SQL knowledgeAble to suggest modeling approaches for a given problem.Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)Real-time experience working in OLAP & OLTP database models (Dimensional models).Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.Eye to analyze data & comfortable with following agile methodology.Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.Experience in contributing to proposals and RFPsGood experience in stakeholder managementDecent communication and experience in leading the teamYou are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Perks and benefits

Role & responsibilities As a Senior Data Engineer, you will work to solve some of the organizational data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member and Data Modeling lead as demanded by each project to define, design, and deliver actionable insights.On a typical day, you mightEngage the clients & understand the business requirements to translate those into data models.Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.Contribute to Data Modeling acceleratorsCreate and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.Gather and publish Data Dictionaries.Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.Use the Data Modelling tool to create appropriate data models.Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.Use version control to maintain versions of data models.Collaborate with Data Engineers to design and develop data extraction and integration code modules.Partner with the data engineers to strategize ingestion logic and consumption patterns.Preferred candidate profile 6+ years of experience in Data space.Decent SQL skills.Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)Real-time experience working in OLAP & OLTP database models (Dimensional models).Good understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.Eye to analyze data & comfortable with following agile methodology.Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP).You are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry

Role & responsibilities Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models – data warehouse etc.Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling.Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects.Suggest best modelling approach to the client based on their requirement and target architecture.Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details.Profile the Data sets to generate relevant insights.Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns.Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance.Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform.Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc.Guide /mentor team members, and review artifacts.Contribute to the overall data strategy and roadmaps.Propose and execute technical assessments, proofs of concept to promote innovation in the data space.Preferred candidate profile Minimum 16 years of experienceDeep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies.Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases.Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server) • Good understanding of Relational, Dimensional, Data Vault ModellingExperience in implementing 2 or more data models in a database with data security and access controls.Good experience in OLTP and OLAP systemsExcellent Data Analysis skills with demonstrable knowledge on standard datasets and sources.Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)Understanding of DevOps processesHands-on experience in one or more Data Modelling ToolsGood understanding of one or more ETL tool and data ingestion frameworksUnderstanding of Data Quality and Data GovernanceGood understanding of NoSQL Database and modeling techniquesGood understanding of one or more Business DomainsUnderstanding of Big Data ecosystemUnderstanding of Industry Data ModelsHands-on experience in PythonExperience in leading the large and complex teamsGood understanding of agile methodologyYou are important to us, let’s stay connected!Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Perks and benefits

Role & responsibilities As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.On a typical day, you mightEngage the clients & understand the business requirements to translate those into data models.Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.Use the Data Modelling tool to create appropriate data modelsCreate and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.Gather and publish Data Dictionaries.Ideate, design, and guide the teams in building automations and acceleratorsInvolve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.Use version control to maintain versions of data models.Collaborate with Data Engineers to design and develop data extraction and integration code modules.Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing.Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders.Work with the client to define, establish and implement the right modelling approach as per the requirementHelp define the standards and best practicesInvolve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.Coach team members, and review code artifacts.Contribute to proposals and RFPsPreferred candidate profile 10+ years of experience in Data space.Decent SQL knowledgeAble to suggest modeling approaches for a given problem.Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)Real-time experience working in OLAP & OLTP database models (Dimensional models).Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.Eye to analyze data & comfortable with following agile methodology.Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.Experience in contributing to proposals and RFPsGood experience in stakeholder managementDecent communication and experience in leading the teamYou are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Role & responsibilities Writing modular, well-documented Python code to support various projects.Debugging, testing, and refining existing Python modules for better performance.Working with data using libraries like Pandas and NumPy to process and analyze information.Creating customized visualizations using tools like Plotly, Matplotlib, or Seaborn to present insights effectively.Managing and maintaining code repositories using Git and following best practices in version control.Exploring cloud platforms like AWS, Databricks, or GCP for integration when needed.Occasionally working with shell scripting or package development to improve workflows.Preferred candidate profile Bachelors/Masters Degree in Engineering, Computer Science, or related fields.Interest in core programming principles and an understanding of the importance of code structure.Passion for writing clean, simple, and efficient code that is easy to maintain.Ability to quickly understand, debug, and enhance existing projects while contributing effectively.Eagerness to learn and adapt to evolving technologies and best practices in software development.

As a Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients.Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact.Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results.Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation.Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications.Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.What do we expect?Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities