Senior Data Engineer - Data Modelling

Job Title: Senior Data Engineer-Data Modeling Location: Bengaluru, Chennai, Hyderabad. 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. 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. Expertise and Qualifications What 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, letʼs stay connected! Every individual comes with a different set of skills and qualities so even if you donʼt 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.