Job Title: Data Research – Database Engineer
Location: Remote
Experience Required: Minimum 5 years

Role Summary:
We are seeking a Database Engineer with solid experience in SQL, Python, OOPs, and cloud-based database platforms, especially AWS RDS and Google BigQuery. The candidate will be responsible for designing, optimizing, and managing complex database systems and ensuring seamless data access, transformation, and integration within cloud environments.

This is a hands-on technical role ideal for someone with experience in both data engineering and cloud infrastructure, with an ability to collaborate with cross-functional teams in a data-driven workplace.

Key Responsibilities:
Design and manage scalable and secure databases using AWS RDS, Google BigQuery, or other cloud-based platforms

Write efficient and optimized SQL queries for data extraction, transformation, and analytics

Build and maintain Python-based data tools, scripts,



and automation workflows

Apply OOPs principles to structure robust and maintainable Python code for data engineering tasks

Collaborate with data scientists and analysts to support data needs and pipeline enhancements

Monitor and troubleshoot database performance and availability

Ensure data integrity, security, and backup/recovery processes

Required Skills & Experience:
5+ years of experience in SQL and database engineering

Robust hands-on experience with Python and Object-Oriented Programming (OOPs)

Experience working with AWS RDS (MySQL/PostgreSQL/SQL Server)

Exposure to Google BigQuery or similar cloud data warehouses

Familiarity with data pipeline tools and orchestration is a plus

Understanding of cloud infrastructure, security, and cost optimization

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