Data Engineer Pharma
Data Engineer Pharma
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1 Vacancy
Job Description
- 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 endtoend 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 creating realistic project timelines planning and managing individual and teams task).
- 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 latest industry trends.
- 37 years of experience in designing/building data warehouses and BI reporting with a B.Tech/B.E background.
- Prior experience of 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 handson experience in working with cloud data warehouses like Redshift Azure Snowflake etc. And Proficiency in SQL Data modelling designing ETL pipelines is a must.
- Intermediate to expert level proficiency in Python.
- Proficiency in either Tableau PowerBI Qlik is a must.
- Should have worked on large datasets and complex data modelling projects.
- Prior experience in business development activities is a plus.
- Domain knowledge of the pharma landscape is mandatory.
sql,cloud technologies,tableau,snowflake,qlik,data collection,databricks,data engineering,data modelling,informatica,python,aws,bi reporting,hadoop,data pipelines,etl pipelines,pharma domain knowledge,data processing,pyspark,visualisation,data storage,powerbi,azure,etl
Employment Type
Full Time
