Senior Data Engineer - Dimensional Modeling

Must Have Skills : PySpark, Databricks, Data Modeler, SQL Experience Level : 8 - 12 Years Role Type : Techno functional role. Specific contribution expected from the role : - Looking for a Data Modeler with 8+ years of experience in data modeling, Medallion Architecture, dimensional modeling, and normalization techniques. - Strong hands-on expertise in PySpark, Databricks, SQL, data quality, profiling, and at least one data modeling tool is required. - Knowledge of AI-driven productivity tools is essential; experience in CPG and data governance (lineage, metadata management) is a plus. Skills : - Data Modeling, Medallion Architecture, Dimensional Modeling, Data Normalization, PySpark, Databricks, SQL, Data Quality, Data Profiling, AI, Data Governance, Data Lineage, Metadata Management. Location and Shift : Remote. Shift Timing: Normal (Day Shift). Job Description : - 1. Have 8+ years of data modelling experience - 2. Knowledge and experience on medallion architecture, table normalization techniques and dimensional modelling - 3. Hands on experience on at least 1 data modelling tool - 4. Hands on experience in Data engineering using pyspark and Databricks - 5. Strong SQL and data analysis skills - 6. Data quality and profiling - 7. Knowledge and understanding on AI and its uses for productivity improvement Good to have : - 1. Specific AI tools for productivity improvement in DM/DE - 2. CPG industry domain experience - 3. Data governance capabilities like data lineage, metadata management etc