Key Responsibilities
Develop and maintain
Power BI dashboards
with end-to-end ownership, including
DAX
for front-end calculations.
Review, optimize, and enhance
data models
to ensure scalability and performance.
Utilize
Databricks Lakehouse platform
for data hosting and processing.
Write and execute
SQL queries
for data extraction and transformation.
Implement automation scripts using
PySpark
for efficient data movement and processing.
Collaborate cross-functionally to present data insights to stakeholders and support business objectives.
Work with
pharma industry datasets
to ensure compliance and accuracy in reporting.
Must-Have Qualifications
Proven experience with
Power BI
(end-to-end development and DAX).
Strong
data modeling
skills with optimization experience.
Hands-on experience with
Databricks Lakehouse
environment.
Proficiency in
SQL
for querying large datasets.
Familiarity with
PySpark
for automation and data engineering tasks.
Experience working with
pharmaceutical industry data .
Excellent communication skills for presenting insights and collaborating with stakeholders.
Preferred Qualifications (Pluses)
Knowledge of
IQVIA Data Assets
and their application in pharma analytics.
Experience with
Azure Data Factory
for data integration and orchestration.
Developer • Aurangabad, Maharashtra, India