Data Engineer

Job Summary We are looking for an experienced Data Engineer to develop, maintain, and optimize data pipelines and ETL processes that support business data integration, reporting, and analytics requirements. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data from various sources. Develop and optimize SQL queries, data transformation logic, and data integration workflows. Perform data validation, reconciliation, and quality checks to ensure data accuracy and consistency. Troubleshoot data pipeline issues and optimize processing performance. Support data warehouse development and data integration initiatives. Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions. Prepare and maintain technical documentation for data pipelines and processes. Qualifications At least 5 years of relevant experience in Data Engineering or a similar role. Strong hands-on experience in ETL/ELT development and data integration. Proficiency in SQL and experience working with relational databases. Knowledge of data warehousing, data transformation, and data quality practices. Experience troubleshooting and optimizing data processing workflows. Strong analytical, problem-solving, and communication skills. Experience with cloud data platforms, Python, and data orchestration tools is an advantage.