What you’ll do

• Design/implement complex and scalable enterprise data processing and BI reporting solutions.
• Design, build, and optimize ETL pipelines or underlying code to enhance data warehouse systems
• Work towards optimizing the overall costs incurred due to system infrastructure, operations, change management, etc.
• Deliver end-to-end data solutions across multiple infrastructures and applications
• Coach, mentor, and manage a team of junior associates to help them (plan tasks effectively and more)
• Demonstrate overall client stakeholder and project management skills (drive client meetings, create realistic project timelines, plan and manage individual and team tasks)
• Assist senior leadership in business development proposals focused on technology by providing SME support
• Build strong partnerships with other teams to create valuable solutions
• Stay up to date with the latest industry trend

What makes you a great fit:

• 3-7 years of experience in designing/building data warehouses and BI reporting with a B.Tech/B.E background
• Prior experience in managing client stakeholders and junior team members. A background in managing Life Science clients is mandatory
• Proficient in big data processing and cloud technologies like AWS, Azure, Databricks, PySpark, Hadoop, etc. Along with proficiency in Informatica is a plus
• Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure, Snowflake, etc. And Proficiency in SQL, Data modeling, designing ETL pipelines is a must
• Intermediate to expert-level proficiency in Python
• Proficiency in either Tableau, PowerBI, or Qlik is a must
• Should have worked on large datasets and complex data modeling projects
• Domain knowledge of the pharma landscape is mandatory