Junior Big Data Engineer (Entry-Level) Full Time NEW

About the Role

We are seeking a motivated Junior Big Data Engineer to support the development and maintenance of scalable data processing systems. This entry-level role focuses on assisting with data pipelines, managing large datasets, and supporting analytics and engineering teams. It is an excellent opportunity for individuals looking to build a career in big data and data engineering.

Key Responsibilities

• Assist in building and maintaining big data pipelines and workflows
• Support data ingestion, transformation, and processing activities
• Work with structured and unstructured datasets from multiple sources
• Assist in maintaining data quality, integrity, and consistency
• Collaborate with data engineers, analysts, and data scientists
• Monitor and troubleshoot data pipeline issues
• Document data processes, workflows, and technical procedures
• Support performance optimization and scalability initiatives

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field
• 0–1 year of experience in data engineering, software development, or analytics (internships/projects included)
• Basic understanding of big data concepts and distributed systems
• Familiarity with SQL and database technologies
• Basic programming knowledge in Python, Java, or Scala
• Strong analytical and problem-solving skills
• Good communication and teamwork abilities

Preferred Qualifications

• Exposure to big data technologies such as Hadoop, Spark, or Kafka
• Familiarity with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Basic understanding of ETL processes and data warehousing
• Familiarity with version control systems such as Git
• Exposure to Linux environments and scripting basics

Skills

• Big Data Fundamentals
• Data Processing & ETL
• SQL & Database Management
• Programming & Problem Solving
• Collaboration & Communication

What We Offer

• Competitive, market-aligned compensation
• Hands-on experience with modern big data technologies
• Structured training and mentorship programs
• Career growth opportunities in data engineering and analytics
• Collaborative and innovation-driven work environment

Equal Opportunity Statement

We are an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration without regard to race, religion, gender, age, disability, or any other protected status.