Job Overview
Medinext Global LLC is seeking a skilled Data Engineer with 1-3 years of professional experience to design, develop, and maintain data pipelines and data processing solutions.
The ideal candidate will have hands-on experience with Python, SQL, ETL processes, databases, and cloud technologies.
Responsibilities
- Develop and maintain scalable data pipelines and ETL workflows.
- Extract, transform, and load data from multiple sources.
- Write optimized SQL queries for data extraction and transformation.
- Develop data processing solutions using Python.
- Monitor data pipelines and troubleshoot data quality or processing issues.
- Work with data analysts, data scientists, software engineers, and business teams.
- Design and maintain data models and database structures.
- Implement data validation and quality checks.
- Optimize data pipelines for performance and reliability.
- Document data pipelines, processes, and technical solutions.
- Support cloud-based data platforms and data integration projects.
- Participate in Agile development and code reviews.
Required Qualifications
- 1-3 years of professional Data Engineering or related experience.
- Strong proficiency in Python and SQL.
- Experience with ETL/ELT processes and data pipelines.
- Experience working with relational databases.
- Knowledge of data modeling and database concepts.
- Familiarity with Git and software development practices.
- Strong analytical and problem-solving skills.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field preferred.
Preferred Skills
- Python
- SQL
- ETL / ELT
- Data Pipelines
- Data Modeling
- PostgreSQL / MySQL
- Apache Spark
- Databricks
- AWS / Azure / Google Cloud Platform
- Airflow
- Snowflake
- Git
- REST APIs
- Cloud Data Engineering
Employment Type: Full Time
Experience: 1-3 Years
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level