Data Engineer

Job Description

Key Responsibilities

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

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