Senior Data Programmer

Voiant; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Voiant, Hyderabad, India, seeks a Senior Data Programmer to lead data extraction, preparation, and integration efforts supporting data management. You will build and maintain data formatter repos, develop transfer tools, and create robust tests for QC and integration processes.

The role requires 5+ years in STATA/SAS/Python development, with knowledge of ETL, RDBMS, NoSQL databases, and the ability to manage deadlines across multiple priorities.

Qualifications

• Advanced degree in Statistics, Biostatistics, CS, Engineering or equivalent.
• 5+ years of STATA/SAS/Python development experience (3+ years in industry).
• Knowledge of data QC, cleansing and transformation.

Responsibilities

• Develop and maintain data formatter repository structure.
• Develop data formatter for data transfer per project data transfer plan (DTP).
• Develop data processing tools for data ingestion and data export.
• Develop test scripts to ensure correct functionality of data management tools.
• Document code, procedures, tests used for data QC, clinical data integration, and data transfer operations.
• Develop data pipelines for integration with internal and external systems.
• Develop Data Transfer Plans in collaboration with the Software Engineering teams.
• Develop in a team environment with source code management.
• Performs other departmental and study-related activities as needed and upon request.

Skills

Data extraction

Data preparation

Data transformation

Data integration

STATA/SAS/Python development

Education

BS or MS in Statistics/Biostatistics/Computer Science/Engineering

Tools

ETL toolkits

RDBMS

NoSQL DBs

Job description

The Senior Data Programmer performs data extraction, data preparation, data transformation and data integration activities to support data management.

Role & responsibilities

• Develop and maintain data formatter repository structure.
• Develop data formatter for data transfer per project specific data transfer plan (DTP).
• Develop data processing tools for data ingestion and data export.
• Develop test scripts to ensure correct functionality of the developed data management tools.
• Document code, procedures, tests used for data QC, clinical data integration, and data transfer operations.
• Develop data pipelines for integration with internal and external systems.
• Develop Data Transfer Plans in collaboration with the Software Engineering teams.
• Develop in a team environment with source code management.
• Performs other departmental and study-related activities as needed and upon request.

Preferred candidate profile

• Requires an advanced degree (BS or MS (preferred)) in Statistics/Biostatistics/Computer Science/Engineering or equivalent.
• 5+ years of STATA/SAS/Python development experience (3+ years in industry).
• Knowledge of Data QC (Validity, Consistency, Completeness etc.), Data Cleansing (Syntax Error Detection, Duplicate Removal, Data Auditing) & Data Transformation.
• Knowledge of ETL toolkits, RDBMS, No SQL DBs (desirable but not essential).
• Ability to work with deadlines and manage multiple priorities.