Data Engineer (SQL)

Design, develop, and maintain data pipelines to support business and reporting requirements. Write, optimize, and maintain complex SQL queries for data extraction, transformation, and analysis. Perform data integration and transformation from multiple data sources. Ensure data accuracy, consistency, quality, and reliability. Monitor and troubleshoot data pipeline and database performance issues. Collaborate with business analysts, developers, and other stakeholders to understand data requirements. Maintain technical documentation related to data processes and database structures. Qualifications Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field. Minimum 2–3 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL, including complex queries, joins, subqueries, CTEs, and query optimization. Good understanding of database concepts, data modeling, and relational databases. Experience in developing and maintaining ETL/ELT processes and data pipelines. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, or Oracle. Strong analytical, problem-solving, and troubleshooting skills. Able to work independently and collaboratively within a team.