Junior Data Engineer

Eligibility Criteria

Bachelor’s degree in Computer Science, Data Analytics, or related field 1–3 years experience in Data Engineering or Analytics roles Strong programming knowledge in Python and SQL Experience building or maintaining data pipelines Familiarity with cloud storage concepts (e.g., Amazon S3) Strong analytical and problem-solving skills Ability to write technical documentation Eagerness to learn and grow in data engineering field

Responsibilities

• Build and maintain reliable data pipelines
• Develop data transformations using PySpark and SQL
• Integrate data from internal and external sources
• Monitor and maintain data quality
• Support day-to-day data operations
• Perform root-cause analysis and issue resolution
• Work with stakeholders to gather reporting requirements
• Maintain documentation and workflow records
• Support analytics and reporting initiatives
• Assist with data governance and metadata management

Skills

• Core Skills:
• Python Programming
• SQL
• PySpark
• Data Pipeline Development
• Data Transformation
• Cloud Storage (Amazon S3)
• Data Modeling Basics
• Data Quality Monitoring
• Technical Documentation
• JIRA Workflow Management
• Preferred Skills:
• Databricks
• Delta Lake
• REST APIs
• AWS Data Platforms
• Data Governance Concepts
• BI Tools (Power BI
• Tableau
• AWS QuickSight)

Education

• Bachelor’s Degree in:
• Computer Science
• Data & Analytics
• Information Technology
• Related Engineering Fields