Data Engineer - Pharma
Data Engineer - Pharma
Posted on :
20-12-2024
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1 Vacancy
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Job Description
About ProcDNA:
ProcDNA is a global consulting firm. We fuse design thinking with cuttingedge tech to create gamechanging Commercial Analytics and Technology solutions for our clients. Were a passionate team of 200 across 7 offices all growing and learning together since our launch during the pandemic. Here you wont be stuck in a cubicle youll be out in the open water shaping the future with brilliant minds. At ProcDNA innovation isnt just encouraged its ingrained in our DNA.
Youll build and maintain systems for efficient data collection storage and processing to ensure data pipelines are robust and scalable for seamless integration and analysis. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fastpaced global firm.
What youll 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 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
Must Haves:
- 1.5 5 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 expertlevel 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 mandatory
- Domain knowledge of the pharma/healthcare landscape is mandatory.
Qualifications
1.5 5 years of experience in designing/building data warehouses and BI reporting with a B.Tech/B.E background
Example: Excellent verbal and written communication skills
data modeling,qlik,powerbi,pyspark,azure,cloud technologies,tableau,aws,sql,data modelling,python,etl pipelines,big data processing,snowflake,hadoop,data warehouse,databricks,cloud data warehouses,informatica,redshift
Employment Type
Full Time
Key Skills
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