Data Engineer

Role & responsibilities

• Design, develop, and maintain scalable data pipelines and database solutions.
• Write complex SQL queries, stored procedures, views, and data transformation logic.
• Analyze business requirements and translate them into efficient data models and data flows.
• Perform SQL query optimization and database performance tuning for large datasets.
• Troubleshoot data issues and identify root causes using strong analytical and logical reasoning.
• Support ETL/ELT processes and data integration activities across multiple systems.
• Ensure data quality, consistency, accuracy, and governance standards.
• Collaborate with business users, analysts, and application teams to understand data requirements.
• Monitor database performance and implement improvements for scalability and reliability.
• Create technical documentation, data dictionaries, and process flows.

Preferred candidate profile

• 5+ years of experience in Data Engineering, Database Development, or related roles.
• Strong hands-on experience with SQL development in any relational database platform such as Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Teradata, DB2, or similar.
• Experience working with large datasets and data warehouse environments.
• Proven experience in query optimization and performance tuning.
• Experience in data integration, ETL, or data migration projects.
• Experience with cloud platforms (AWS, Azure, or GCP) is an added advantage.

Perks and benefits