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Data Engineer

Medinext Global LLCUnited States🇺🇸United States

Why this role stands out

This hybrid Data Engineer role at Medinext Global LLC offers a fantastic opportunity to hone your Python and SQL skills while building robust data pipelines and contributing to innovative solutions. You'll thrive in this collaborative environment if you enjoy problem-solving and developing scalable data systems, so seize this chance to advance your career.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
MySQLSQLGitApache SparkAWSETLSnowflakeAirflowApacheDatabricksGoogle CloudPythonRESTAzurePostgreSQLAgile

Job description

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

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