We are seeking a skilled and experienced Database Programmer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our database systems, with a strong focus on data integrity, performance, and security. The role requires expertise in SQL, strong programming skills in Python, and prior experience working within the healthcare domain to handle sensitive data and complex regulatory requirements.

Key Responsibilities

Design, implement, and maintain scalable and efficient database schemas and systems.
Develop and optimize complex SQL queries, stored procedures, and triggers for data manipulation and reporting.
Write and maintain Python scripts to automate data pipelines, ETL processes, and database tasks.
Collaborate with data analysts, software developers, and other stakeholders to understand data requirements and deliver robust solutions.
Ensure data quality, integrity, and security, adhering to industry standards and regulations such as HIPAA.
Troubleshoot and resolve database performance issues, including query tuning and indexing.
Create and maintain technical documentation for database architecture, processes, and applications.

Required Qualifications

Experience:
Proven experience as a Database Programmer, SQL Developer, or a similar role.
Demonstrable experience working with database systems, including data modeling and design.
Strong background in developing and maintaining applications and scripts using Python.
Direct experience within the healthcare domain is mandatory, including familiarity with medical data (e.g., patient records, claims data) and related regulatory compliance (e.g., HIPAA).
Technical Skills:
Expert-level proficiency in Structured Query Language (SQL) and relational databases (e.g., SQL Server, PostgreSQL, MySQL).
Solid programming skills in Python, including experience with relevant libraries for data handling (e.g., Pandas, SQLAlchemy).
Experience with data warehousing concepts and ETL (Extract, Transform, Load) processes.
Familiarity with version control systems, such as Git.

Preferred Qualifications

Experience with NoSQL databases (e.g., MongoDB, Cassandra).
Knowledge of cloud-based data platforms (e.g., AWS, GCP, Azure).
Experience with data visualization tools (e.g., Tableau, Power BI).
Familiarity with other programming languages relevant to data science or application development.

Education

Bachelor’s degree in computer science, Information Technology, or a related field.

To process your resume for the next process, please fill out the Google form with your updated resume.

https://forms.gle/f7zgYAa632ww5Teb6

Database Programmer / Developer (SQL, Python, Healthcare)

Job Summary

Key Responsibilities

Design, implement, and maintain scalable and efficient database schemas and systems.
Develop and optimize complex SQL queries, stored procedures, and triggers for data manipulation and reporting.
Write and maintain Python scripts to automate data pipelines, ETL processes, and database tasks.
Collaborate with data analysts, software developers, and other stakeholders to understand data requirements and deliver robust solutions.
Ensure data quality, integrity, and security, adhering to industry standards and regulations such as HIPAA.
Troubleshoot and resolve database performance issues, including query tuning and indexing.
Create and maintain technical documentation for database architecture, processes, and applications.

Required Qualifications

Experience:
Proven experience as a Database Programmer, SQL Developer, or a similar role.
Demonstrable experience working with database systems, including data modeling and design.
Strong background in developing and maintaining applications and scripts using Python.
Direct experience within the healthcare domain is mandatory, including familiarity with medical data (e.g., patient records, claims data) and related regulatory compliance (e.g., HIPAA).
Technical Skills:
Expert-level proficiency in Structured Query Language (SQL) and relational databases (e.g., SQL Server, PostgreSQL, MySQL).
Solid programming skills in Python, including experience with relevant libraries for data handling (e.g., Pandas, SQLAlchemy).
Experience with data warehousing concepts and ETL (Extract, Transform, Load) processes.
Familiarity with version control systems, such as Git.

Preferred Qualifications

Experience with NoSQL databases (e.g., MongoDB, Cassandra).
Knowledge of cloud-based data platforms (e.g., AWS, GCP, Azure).
Experience with data visualization tools (e.g., Tableau, Power BI).
Familiarity with other programming languages relevant to data science or application development.

Education

Bachelor’s degree in computer science, Information Technology, or a related field.

To process your resume for the next process, please fill out the Google form with your updated resume.

https://forms.gle/f7zgYAa632ww5Teb6

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About Mango Sciences

Founded :

2019

Type :

Product

Size :

20-100

Stage :

Raised funding

About

N/A

Company social profiles

N/A

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