Roles & Responsibilities:

• Majorly responsible for designing, building and maintaining ETL/ELT pipelines.
  
• Integration of data from multiple sources or vendors to provide holistic insights from data.
  
• Build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms.
  
• Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in resolution.
  
• Client interaction experience required.
  
• Mentoring juniors and providing required guidance.
  
  

Required Technical Skills:

• Extensive hands-on experience in Python, Pyspark, SQL, Dataiku.
  
• Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.
  
• Working knowledge in Databricks, Redshift, ADF etc.
  
• Hands-on experience in cloud services like Azure, AWS - S3, Glue, Lambda, CloudWatch, Athena.
  
• Sound knowledge in end-to-end Data management, Data ops, quality and data governance.
  
• Familiar with SFDC, Waterfall/Agile methodology.
  
• Strong domain knowledge in Pharma domain/life sciences commercial data operations.
  
  

Qualifications:

• Bachelor or Master Engineering/MCA or equivalent degree.
  
• 5-7 years of relevant industry experience as Data Engineer.
  
• Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.
  
• High motivation, good work ethic, maturity, self-organized and personal initiative.
  
• Ability to work collaboratively and providing support to the team.
  
• Excellent written and verbal communication skills.
  
• Strong analytical and problem-solving skills.