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Hybrid Consultant – Data Aggregation

at Beghou Consulting
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About the role

  • 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

Requirements

  • Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance.
  • 5+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.
  • Proficiency in Microsoft Office products,data analysis tools (e.g., Snowflake, Redshift) and job orchestration (Airflow, Databricks workflows)
  • Strong understanding of HIPAA, GDPR, and related data privacy regulations.
  • Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences
  • Strong organizational abilities and effective time management skills
  • Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap.

Benefits

  • Health insurance
  • Professional development opportunities
  • Hybrid work arrangement

Job title

Consultant – Data Aggregation

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AirflowAmazon RedshiftPySparkPython

Location requirements

HybridPuneIndia

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