Junior Data Engineer

LTD Global
San Diego, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 104K

Job location

San Diego, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Data Architecture
Information Engineering
ETL
Python
SQL Databases
Data Ingestion
System Availability
Spark
Spoofing
Information Technology
Kafka
Data Management
Data Pipelines
Programming Languages

Job description

  • Assist in designing, building, and maintaining data pipelines for efficient data ingestion and processing
  • Support the development and optimization of data workflows across platforms
  • Collaborate with cross-functional teams to ensure data availability and quality
  • Monitor and troubleshoot data pipeline issues to ensure reliability and performance
  • Contribute to documentation and best practices for data engineering processes

Please note:

  • We are not working on Corp-Corp for this position.
  • We maintain a zero-tolerance policy toward fraudulent applications. Any candidate found to have provided false information, Misrepresented or fabricated work experience, Falsified educational credentials, Fake or altered identification documents, Fraudulent visa or work authorization documents, Impersonation or proxy interviews, will be immediately disqualified from the hiring process.

Requirements

  • Bachelor's degree in Computer Science, IT or related field
  • 1+ year of experience in data engineering or a related field
  • Experience working with data platforms and ingestion pipelines
  • Basic understanding of ETL/ELT processes and data architecture
  • Familiarity with programming languages such as Python, SQL, or similar
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities

Preferred Qualifications:

  • Exposure to cloud platforms (e.g., AWS, Azure, or GCP)
  • Experience with data tools such as Apache Spark, Kafka, or similar technologies

Apply for this position