Data Engineer

Data Engineer

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