Junior Data Engineer

We are looking for a motivated and detail-oriented Junior Data Engineer to join our growing data team. This role is ideal for freshers and early-career professionals who are passionate about data, databases, and building reliable data pipelines. You will work closely with data analysts, data scientists, and software engineers to support data-driven decision-making.

• Assist in designing, developing, and maintaining data pipelines
  
• Collect, clean, transform, and load data from multiple sources
  
• Develop and optimize SQL queries for data extraction and reporting
  
• Monitor data workflows and troubleshoot data-related issues
  
• Ensure data quality, accuracy, and consistency across systems
  
• Support data integration and ETL/ELT processes
  
• Collaborate with cross-functional teams to understand data requirements
  
• Create and maintain technical documentation for data processes
  
• Learn and implement data engineering best practices
  
  

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
  
• Strong understanding of SQL and database concepts
  
• Basic knowledge of Python or another programming language
  
• Understanding of data structures and data processing concepts
  
• Familiarity with relational databases such as MySQL, PostgreSQL, or SQL Server
  
• Strong analytical and problem-solving skills
  
• Good communication and teamwork abilities
  
• Attention to detail and eagerness to learn
  
  

• Knowledge of ETL tools and data pipelines
  
• Familiarity with cloud platforms such as AWS, Azure, or GCP
  
• Basic understanding of Data Warehousing
  
• Experience with Power BI, Tableau, or other visualization tools
  
• Internship or academic projects related to data engineering
  
• Exposure to Apache Spark, Hadoop, or Kafka
  
  

• Competitive salary and performance-based incentives
  
• Comprehensive training and mentorship
  
• Exposure to real-world data engineering projects
  
• Career growth opportunities in Data Engineering and Analytics
  
• Collaborative and supportive work environment
  
• Opportunity to work with modern data technologies