Lead Data Engineer
				                      Date Posted: 19-Jul-2024 | Qualification: Graduation
 
								 
								
								
                            	
									
									    
									        
									            | Position: | Lead Data Engineer | 
									        
									            | Skills Required: | Snowflake,Data modelling,Data engineering, Tableau, DWH, ETL, AWS | 
									        
									            | Employment Type: | Full Time | 
									        
									            | Location: | Mumbai | 
									        
									            | Job Mode: | Work from Office | 
									        
									            | Experience: | 9 - 15 (years) | 
									    
									
								 
							 
							 
                            
                            
                                Job Description:
                                
• Must have: Excellent Data warehousing, data modeling, and data transformation-
Advanced SQL -Tableau Reporting - Design stable, reliable, and effective databases.
• Interface with other technical personnel or team members to document, interpret, and 
finalize requirements.
• Write and review portions of specifications for the development of data components of 
moderate complexity.
• Serve as a focal point for requirements drafting, defining and/or gathering as related to 
projects within or affecting specific areas of responsibility.
• Specialized business support through in-depth data analysis and research.
• Independently design queries to assess data for research purposes.
• Successfully implement and execute data management and analysis processes and 
procedures that support group expectations.
• Resolve complex data issues as necessary within specific functional areas or data types.
• Identify areas for improvement and, with leadership, peers, or others, implement initiatives 
to improve overall capability and efficiency.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices 
such as naming conventions, encapsulation, etc.
• Identify opportunities to apply existing automation or other tools to meet testing needs.