lever
Manager- Data Aggregation-304
Beghouconsulting
Bengaluru, IND
Full-time
Senior · 6+ years experience
Hybrid
Discovered 3 weeks ago
PythonPySparkSnowflakeRedshiftAirflowDatabricks
Free
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PythonPySparkSnowflake
Key Skills for This Role
PythonPySparkSnowflakeRedshiftAirflowDatabricks
Full Job Posting
- Collect, clean, and aggregate patient-level data from Electronic Health Records (EHRs), lab systems, and external databases.
- Apply tokenization techniques to replace direct identifiers while preserving data integrity for linkage and analysis.
- Perform or support expert determination de-identification processes to evaluate and minimize re-identification risk in datasets.
- Ensure all activities comply with HIPAA, and institutional privacy policies, particularly within HISEC environments
- Manage and maintain secure data pipelines and repositories for sensitive patient information.
- Assist in the development of standard operating procedures (SOPs) for secure data aggregation and handling.
- Support the generation of anonymized datasets for research, analytics, or external data sharing initiatives.
- Monitor data quality, flag inconsistencies, and ensure proper documentation of data provenance and transformation.
- Provide support for audits, security assessments, and internal data governance reviews.
- Design and implement end-to-end Data aggregation solutions tailored to business requirements using Python and Pyspark.
- Synthesizes findings, develops recommendations, and communicates results to clients and internal teams.
- Assumes project management responsibilities for Data aggregation implementation on each project with minimal supervision, including managing onshore/client communication, leading meetings, and drafting agendas
- Manage multiple projects simultaneously while meeting deadlines
- Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance.
- 6+years of relevant consulting-industry experience
- Deep understanding of data management best practices, data modeling and data analytics
- Strong understanding of U.S. pharmaceutical datasets and their applications
- Experience with tokenization tools/methodsand expert determination for de-identification.
- Logical thinking and problem-solving skills along with an ability to collaborate.
- Familiarity with HISEC standards or other high-security frameworks
- Strong programming skills in Python and working knowledge of PySpark .
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