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.