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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

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