No 236 P R Plaza, Selaiyur Bus stop, Ezhil Road ICICI Bank building 2nd Floor , East Tamabram, Tambaram-velachery by pass road, Chennai - 600073

Architect-Data Modeling Chennai, Hyderabad, Bangalore JOB DESCRIPTION Job Title: Architect - Data Modeling Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, youʼll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce. Weʼre Great Place to Work-Certified™. Working at Tiger Analytics, youʼll be at the heart of an AI revolution. Youʼll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. 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 &amp; 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. ● 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. ● Build data warehouse &amp; data marts (on Cloud) while performing data profiling and quality analysis. ● Use version control to maintain versions of data models. ● Design and develop data extraction and integration code modules. ● Partner with the data engineers &amp; testing practitioners to strategize ingestion logic, consumption patterns &amp; testing. ● Ideate to design &amp; develop the next-gen data platform by collaborating with crossfunctional stakeholders. ● Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc. ● Coach team members, and review code artifacts. EXPERTISE AND QUALIFICATIONS What do we expect? ● 10+ years of experience in Data space. ● Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) ● Real-time experience working in OLAP &amp; 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 &amp; comfortable with following agile methodology. ● Adept understanding of any of the cloud services is preferred (Azure, AWS &amp; GCP) ● Enthuse to coach team members &amp; collaborate with various stakeholders across the organization and take complete ownership of deliverables.

Position&nbsp;- Director Technical AI seeks a dynamic and highly skilled Senior Technical Pre-Sales Specialist to join our Data Science&nbsp;Practice. This crucial role will be dedicated to engaging in early-stage conversations with prospective clients, helping shape opportunities, and playing a pivotal role in developing proposals, RFPs, and detailed technical solutions.&nbsp;This role demands an individual with confidence in their extensive understanding of data science and&nbsp;analytics to effectively translate technical capabilities into tangible business value for customers and prospects. Shape opportunities and providing a detailed technical perspective throughout the sales cycle are integral aspects of this role. Desired Skills and Experience Prospect Engagement ; Solution Development: Participate in early-stage conversations with critical clients, understanding their needs and contributing to solution development, ensuring alignment with client requirements. Collaborate with internal teams to design innovative solutions aligned with clients; requirements, leveraging in-depth technical knowledge. Technical Strategy Development: Develop and execute the technical pre-sales strategy, aligning it with broader business objectives and contributing to revenue growth. Technical Expertise and Guidance: Act as a technical authority, providing deep insights and guidance to the team while demonstrating advanced knowledge of our solutions and industry trends. Technical Presentations and Proposal Development: Deliver compelling presentations and lead the creation of comprehensive proposals, RFP responses, and technical documentation, ensuring client alignment and adherence to industry best practices. Client Education and Competitive Analysis: Act as a trusted technical advisor to clients, educating&nbsp;them on the benefits of our solutions while staying informed on industry trends and competitor&nbsp;offerings. Qualifications: Bachelors or Masters in Computer Science, Data Science, or a related field.&nbsp;Proven experience in a technical pre-sales or solutions engineering role, preferably in data science, analytics, or related domains.Strong understanding of data science concepts, machine learning, and advanced analytics.Excellent communication and presentation skills.Ability to translate technical information into business terms.Client-focused with the ability to build strong client relationships.Strategic thinking, problem-solving, and a strong team player.

<h3>HR Intern Responsibilities:</h3><ul><li>Updating company databases by inputting new employee contact information and employment details.</li><li>Screening potential employees' resumes and application forms to identify suitable candidates to fill company job vacancies.</li><li>Organizing interviews with shortlisted candidates.</li><li>Posting job advertisements to job boards and social media platforms.</li><li>Removing job advertisements from job boards and social media platforms once vacancies have been filled.</li><li>Assisting the HR staff in gathering market salary information.</li><li>Assisting in the planning of company events.</li><li>Preparing and sending offer and rejection letters or emails to candidates.</li><li>Coordinating new hire orientations.</li><li>Responding to staff inquiries regarding HR policies, employee benefits, and other HR-related matters.</li></ul>

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