Data Engineer

Key Responsibilities

• Build and maintain data pipelines (ETL/ELT) to ingest data from multiple sources
• Develop and optimize SQL queries for analytics and reporting use cases
• Assist in managing and scaling data warehouses and data lakes
• Perform data validation, cleansing, and quality monitoring
• Collaborate with Data Analysts, Data Scientists, and Product teams
• Support cloud-based data solutions on AWS, GCP, or Azure
• Document data models, pipelines, and technical workflows
• Troubleshoot and resolve pipeline failures or data discrepancies
• Follow best practices related to data security, governance, and compliance

Required Qualifications

• Master’s degree (required) in Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related field
• Strong proficiency in SQL (joins, window functions, aggregations)
• Working knowledge of Python for data processing and automation
• Understanding of data modeling, ETL concepts, and database design
• Familiarity with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle
• Exposure to at least one cloud platform (AWS, GCP, or Azure)
• Knowledge of Git or other version control systems
• Strong analytical thinking and problem-solving skills
• Excellent written and verbal communication skills